Manager data Solution Design
INR7"YEARLY"
Manager Data Solution DesignFull Time (1-10 Yrs )Du Telecoms |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
28-11-2018 2019-02-26Job purposeThe purpose of this role is to define and manage the data & Dashboards Environments and associated workflows within the scope of du ICT Platforms or Enterprise architecture in order to support du customer requirements and related dimensional use cases. The role is required to assure the delivery of critical data & Dashboards domain-level capabilities in coordination with the Infrastructure as a Service (IaaS), Platform as a Service (PaaS), IoT, and data & Dashboards Lake (DL) domains.The objective of this role is to drive the monetization of the data & Dashboards products based on the data & Dashboards sets from various sources and provide support to the customized responses to customers RFPs and "productization" of data & Dashboards products. The position is also responsible to architect and manage the complete deployment of the Big data & Dashboards architecture and interactions with the Analytics and Visualization layers. And coordinate the overall Big data & Dashboards with the Orchestration, Platform, Network, Compute, Storage, Security, Hypervisor, and all other Abstraction layers of the SCP or enterprise environments.The role is responsible to build and architect the components of the DL layers and their associated interactions with the other layers of the SCP such as the Internet of Things (IoT) layers, Ingestion Layers, and Analytics layers.
REQUIREMENTS:
Minimum experience:5 - 10 Years of experienceProven practitioner for data & Dashboards and Big data & Dashboards environmentsProven practitioner in all facets of data & Dashboards warehouse and BI Strategy & Architecture (Technology, People and Process)3 years in defining and driving data & Dashboards Warehousing / BI multi-year Roadmaps.Minimum education:Bachelors Degree (Honours) in Computer Science / IT.Strong program management experience, for IS projectsGood understanding of technical aspects relating to the entire Telecommunication BSS & OSS landscapeKnowledge and skills:Defining data & Dashboards Warehousing / BI multi-year Roadmaps.data & Dashboards Warehousing / BI Strategy & Technical Architecturesdata & Dashboards Warehousing data & Dashboards ModellingMassively Parallel Processing ArchitectureBI Semantic data & Dashboards ModellingExcellent management, Team Leading & Influencing skillsHigh level Project & Program Management skills2018-11-28 23:27:23 |
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data Scientist
INR7"YEARLY"
Data ScientistFull Time (1-10 Yrs )Fetchr |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
26-11-2018 2019-02-24Descriptiondata Scientist - Dubai, UAEFetchr, the hottest delivery startup in Dubai is looking for passionate data Scientists --- Join us on our mission to Ship Happy!Fetchr data Science is just getting started, growing next to a more established Engineering and Product organization. Together, we are a fun, culturally diverse bunch of people from a variety of backgrounds. The Fetchr team includes people from Google, Facebook, Amazon, Microsoft and tiny startups. We attract top talent from across the region, as well as the US and Europe.Your new roleAs a data Scientist in Analytics, you will partner with Product and Business Excellence teams to work on our core delivery business. Since the data Science team is just forming, you will have an opportunity to shape and form our data science story. Your primary goal is to help drive informed business, product and operational decisions at Fetchr using your ability to turn data into insights and understanding.REQUIREMENTSWhat youll need to succeed in your new roleWith a background in a quantitative or technical field or economics, you will need to have experience working with and building data sets and metrics, and will have experience in data-driven decision making. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.- Excitement about Fetchr and shipping stuff to people- Excellent analytic and modeling skills: how do you analyze a problem to gain actionable understanding, to decide whether youre recommending a simple product change, an operational change, an experiment, or the building of a full fledged ML model- Excellent communication and presentation skills, as you will be working with PMs, Ops managers, CxOs, helping them understand their domain and help set goals for them- Cross-team communication skills. Youll need to understand the product implications of data and be able to convey uncertainties and caveats with the data- Willingness to build simple pipelines, metrics and dashboards to support your own work to get to the desired insight and understanding- SQL is your second language- Good-enough coding skills in a language useful in this setting, eg. Python- Interest in analytics, statistical modeling, machine learning (Gradient Boosted Decision Trees, Random Forests, etc.)
REQUIREMENTS:
BenefitsWhat youll get in return- Youll benefit from working for one of the regions hottest startups.- Benefit from working in a culture that demands thinking, innovation and taking control- Make a direct impact and exponentially grow based on your performance- Be part of a great start-up with the opportunity to work alongside some of the best talent in the region that are building a product that disrupts!What you need to do now:If youre interested in joining Fetchr and our data Science team, click apply now to forward an up-to-date copy of your CV.2018-11-26 21:37:57 |
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data Engineer
INR7"YEARLY"
Data EngineerFull Time (1-10 Yrs )Fetchr |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
26-11-2018 2019-02-24Description:Fetchr continues to grow and were looking for an experienced data Engineer to join Fetchrs data Engineering team based in our Dubai HQ.Fetchr is revolutionizing the world of shipment and delivery in the Middle East with cutting-edge technologies. Sending and receiving packages has never been this cool, fun, or easy. Established in the U.A.E in 2012 weve grown to over 3,000 employees spread across seven countries and continuing to grow rapidly.Were looking for exceptional talent that want to build something revolutionary! People that enjoy the challenge of solving problems that serve our customers and clients needs. If youre looking to build something you will be proud of, this is the place for you.What youll be doing:As part of the data Engineering team youll be responsible for:- Focusing on a variety of projects within the engineering team including the creation of the data pipeline, feature engineering and building the ETLs of scalable data solutions. - Youll be working collaboratively with engineers, data scientists, product managers and business intelligence teams in order to manage data across the organization. - You will be designing and implementing data strategies and providing data that can be ingested by the data science and operational teams accordingly.
REQUIREMENTS:
REQUIREMENTS:What youll need to succeed:- Be able to write clean, self-documenting & performant code - Recommend & apply appropriate technologies, libraries & frameworks - Take ownership and drive the data development strategies - Create ETL scripts using pertinent technologies - Be well versed in Cloud Platforms; in particular AWS and their services such as but not limited to Kinesis, EMR, Athena, Lambda, DynamoDB, ElastiCache, ElasticSearch RDS and Redshift- Be able to map KPIs and metrics to OLTP data models - Understand data architectures, data warehousing principles and be able to participate in the design and development of conventional data warehouse solutions - Understand database RDBMS and NoSQL and their pros and cons for use in particular business scenarios - Understand throughput rates for both ingress and egress data and be able to optimize for both cost and performance.- A B.Sc in computer science, computer engineering, data engineering or equivalent experience - At least 3 years experience in data engineering or similar paradigmsBenefits:What youll get in return:- Youll benefit from working for one of the regions hottest startups.- Work in a culture that demands thinking, innovation and taking control- Make a direct impact and exponentially grow based on your performance- Be part of a great start-up with the opportunity to work alongside some of the best talent in the region that are building a product that disrupts!2018-11-26 21:36:53 |
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data Scientist
INR7"YEARLY"
Data ScientistFull Time (1-10 Yrs )Stanley James |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
26-11-2018 2019-02-24We are currently recruiting a data Scientist for an exciting opportunity here in Dubai. We are looking for someone who deeply believes in the exponential impact that disciplines of mathematics, machine learning, deep learning and data science can have on businesses.
REQUIREMENTS:
Applications are sought from those with experience in the following key areas;M.Sc degree in Mathematics, Operations Research, Computer Science or other technical fieldMinimum 8 years related work experienceExperience interacting with cross functional teams including, academic researchers, business stakeholders and IT teamsExceptional written and oral skillsSelf-starter, autonomous, functions independently while providing regular updates.Ph.D/M.Sc degree in Mathematics, Operations Research, Computer Science or other technical fieldProficiency in at least 2 of the following:-Machine Learning & Predictive Modeling-data Mining-Hadoop, Spark, Hive etc-Scipy, Scikit, R-Information retrieval-NLP2018-11-26 21:24:12 |
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data Scientist
INR7"YEARLY"
Data ScientistFull Time (1-10 Yrs )Peg B Technology |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
26-11-2018 2019-02-24Peg B Technology, is one of the fastest growing and leading payment solutions technology companies serving the global marketplace and large vertical markets with a unique value proposition.Located in Dubai, UAE the opportunity has arisen for a data Scientist to join our diverse team in changing how the world pays.We are seeking a proficient data Scientist who will be able to solve the big-data problems in payments area using statistical analysis, data mining and machine learning.The candidate should be able to apply business knowledge to do broad data analysis as a precursor to modeling and to provide valuable business intelligence, while playing an essential role in driving the implementation of Cyber Security analytics and data asset enrichment.You will work closely with other team members to continually evolve data solutions as the business changes.Duties and ResponsibilitiesWork closely with Cyber Security data Engineer, and the reporting team to implement complex big data projects with a focus on collecting, parsing and managing large sets of data using multiple platformsCollaborate with architects to define the high level architecture for the analytics platformOversee consolidation of data into cyber security analytics platformDesign logical and physical databases to support reporting and analytics activitiesPresent your analysis to management teams and drive process improvements based on dataRetrieve and analyze data using SQL, data warehouse tools and other data management systemsCreate forecasting system for the top metrics to automatically identify the trend and outliers and discover the driving reason behindPerform a deep dive and analysis on the data to assess key business metricsFamiliar with credit/risk evaluation modelling and help improving the customer experience in payment spaceEscalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are deliveredExpand and grow cyber security data platform capabilities to solve new data problems and challengesKnowledge and ExperienceStrong problem solving skillsAdvanced programming skills in Javascript/HTML/CSS, Python, C# and ScalaExperience using ElasticSearch or Apache Solr Redshift, Tableau, Spark, Splunk, Hadoop, KibanaExperience with Machine Learning Packages with R/PythonYou have worked with massive structured and unstructured data setsExperience using Big data technologies like Apache, SparkExperience in SQL, T-SQL and MS SQL Server, working with data warehouse environments and building ETLs including use of SSIS in a business environment
REQUIREMENTS:
QualificationsMS or equivalent degree in Computer Science / Mathematics or StatisticsFamiliar with advanced statistics / ML conceptsProficient SQL programmerPreferred QualificationsPHD or equivalent degree in Computer Science /Mathematics / Statistics2018-11-26 21:22:39 |
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Big data Engineer
INR7"YEARLY"
Big Data EngineerFull Time (1-10 Yrs )Stanley James |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
26-11-2018 2019-02-24We are currently seeking a Big data Engineer to evaluate, design, develop, test and maintain big data solutions. The primary responsibility of this role would be building large-scale data processing systems, having expertise in data modelling, processing solutions and must be able to work with the latest Big data and NoSQL database technologies. The business is work on the cutting edge of a lot of technologies, and looking for someone who is a creative problem solver, resourceful in getting things done and productive working independently or collaboratively.
REQUIREMENTS:
Applications are sought from those with experience in the following key areas;8 years plus total experience of which at least five years should be working experience in the Apache Hadoop framework, HDFS, Map Reduce, Hive, Flume, Kafka, Sqoop, Oozie, Spark, Spark Streaming and Scala.Minimum of 5+ years of experience in Big data and batch/real-time ingestion and analytical solutions leveraging transformational technologies.Minimum of 5+ years of experience in JAVA, spring, Elasticsearch and Cassandra.Translates complex functional and technical requirements into detailed architecture, design, and high performing softwareCodes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics.Implements security and recovery tools and techniques as required.Ensures all automated processes preserve data by managing the alignment of data availability and integration processes.Having exposure on the Cloudera Manager, Cloudera Navigator, Hue, Shell Scripting, Apache Pig and PythonArchitects Big data analytics framework.Good understanding about Lambda architectureBachelors Degree in Computer/Information SciencesExcellent English language skills2018-11-26 20:30:04 |
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data Engineer
INR7"YEARLY"
Data EngineerFull Time (3-13 Yrs )Ateca Consulting |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
23-11-2018 2019-02-21The data engineer will require high level competence in data & IT development and have ability to strategize among proven technologies to meet critical business needs.To be considered for this high-skilled data engineer role you will need to demonstrate.•Create and maintain optimal data pipeline architecture.•Creating and operating in Hive Metastores; parquet, XML etc.•Knowledge with data ingestion & data preparation via Apache Nifi / HDF.•data administration, auditing and security on Hadoop platform•Development of custom Nifi processors in JAVA.•Modelling for HDP and Hadoop search platforms.•data modelling for HDP and elastic search platforms.•Writing SQL queries for hive and spark.•Apache Storm and Kafta.•Apache Spark and resilient distributed datasets (RDD) for in-memory processing.•data transformation, enrichment in Nifi & HDF2018-11-23 00:14:04 |
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data Analyst Information Insights & Campaign Management
INR7"YEARLY"
Data Analyst Information Insights & Campaign ManagementFull Time (3-6 Yrs )Citibank India |
Dubai (dubai)
Not Mentioned
dubai (dubai)
0dubai (dubai)
|
15-12-2018 2019-03-15data Analyst Information Insights & Campaign Management - 18050382DescriptionJob Purpose:The Individual would be responsible to support the regular management dashboards and provide meaningful insights to the stakeholders. The incumbent will also responsible for campaign management and execute the Incentive calculation for Assets and Retail business with accuracy and timeliness. The individual need to understand the business requirements of the Regular and tactical Incentive plans and able to work with the stakeholders independently and convert the business requirements into technical requirements and provide the results in timely manner.Job Background/context:The Citi Decision Management team is a global community that objectively connects and analyses information, to create actionable intelligence for our business leaders. This fast-paced role identifies fact based opportunities for revenue growth in partnership with the businesses. This advanced function balances customer needs, business strategy, and profit objectives using best-in-class and relevant analytic methodologies. To accomplish this, the group focuses on linkages of information, cutting-edge tools, advanced analytics and statistical modelling. Key focus areas include web analytics, digital lead generation and conversion, campaign tracking and big data analytics.The data Analyst Information Insights and Campaign Management role will work within the Middle East decision management analytics team, to support next generation activities on data mining which include but are not limited to Big data, advanced analytics, machine learning and artificial intelligence.Key Responsibilities:Information Insights: The individual would also be responsible to support few of the regular management dashboards as well as providing the meaningful insights to the stakeholders. The individual would also be responsible to work on the various Adhoc requests provided by the business, understand the needs and convert them into technical requirements and provide the necessary data in timely manner.
Campaign Management: The Individual might also require working on the campaign requests as needed to support the Campaign execution team to have a balanced knowledge about all the processes.
Variable Incentive Calculation: The Individual would be responsible to execute the Incentive calculation for Assets and Retail business and provide the same with accuracy and timeliness. The individual need to understand the business requirements of the Regular and tactical Incentive plans and able to work with the stakeholders independently and convert the business requirements into technical requirements and provide the results in timely manner.
SME: The individual should have in-depth business knowledge about the consumer banking products and able to work on the relevant data warehouse tables to support the ad hoc business needs
Logical and Problem Solving Skills: The individual should have excellent logical thinking and problem solving skills and should have demonstrated experience in handling the complex problems
Technical skills: The individual should have the profound knowledge about the Base SAS/Advanced SAS programming and Automation techniques.
BI tools: The individual will be active in the efforts in conjunction with the regional team to rollout out COGNOS, QlikView, and other BI tools. The ownership will be to drive the accessibility of information for DM and business users.
data Governance: working closely with regional / local DGL (data governance lead), the individual will drive the data accuracy and integrity of information used in reporting and local/global decision making.
data Enrichment and Metadata: The key to using information is availability of that information in a timely manner. Working closely with the regional Information Architecture group, the individual will drive the data enrichment and metadata roll-out thus strengthening the way information is made available to all analysts.Development Value:For the candidate this is an amazing opportunity to learn the whole spectrum of GCB products and be responsible for driving and delivering on analysis that has a significant PandL impactQualificationsKnowledge/Experience:Minimum of 3 years hands-on experience with good understanding of consumer products data infrastructure
Demonstrated experience working with data and data related processes in technology related teams
Experience in executing the Variable incentive plans
Minimum of Bachelors degree in computer science, information management, or related fields
Strong process capabilities, with excellent documentation skills and technical writing skills
Base/Advanced SAS Programming and Automation Skills
Cognos Reporting Skills
Have had experience writing technical specifications, working on data structure design, and data transfer capabilitiesSkills:Advanced SAS Programming and Automation Skills
Stake holder management
Working Knowledge of BI Tools, Cognos or Qlikview
Project ManagementQualifications:Bachelors degree in computer science, information management, or related fieldsCompetencies:Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts; able to communicate results to non-technical partners
Must be independent and a self-starter and comfortable in a fast-paced environment
Ability to work in Agile environment and support multitaskingExceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience.Valuing Diversity:Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add value to decisions or actions and organisational success.Citi is an Equal Opportunities EmployerPrimary Location : EMEA-ARE-DubaiJob Category : Decision ManagementSchedule : Full-timeEducation Level : Bachelors DegreeShift : Day JobEmployee Status : RegularTravel : No2018-12-15 16:20:32 |
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data Entry Clerk
INR7"YEARLY"
Data Entry ClerkFull Time (0-4 Yrs )DesignTex Trading LLC |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
12-12-2018 2019-03-12data Entry Clerk/Production Coordinator:Apply only if available to join immediately.Nationality: Philippians or Indian Only;Bachelors or Master;s Degree is Must;Salary: AED2,500.00 to AED 3,000.00 /month + Mobile Allowance;Excellent selling, communication and negotiation skillsJob Profile:1. Back office support for Sales team.2. Coordinating with the sales team regarding orders, specifications and deliveries.3. Email correspondence.4. Commanding skills
5. Good Communication Skills6. Excellent Analytical Skills.For immediate employment. Preferably applicants already in UAE; Long term Visit/Tourist and or cancelled visa.Knowledge of Hindi is Advantage- Not NecessaryPreferably with experience in Textile Industry -UniformsSend your Updated CV to: [HIDDEN TEXT]2018-12-12 23:56:38 |
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data Entry Agent
INR7"YEARLY"
Data Entry AgentFull Time (1-10 Yrs )AccorHotels |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
08-12-2018 2019-03-08Key tasks-Update promptly and correctly all guest data (check in and check out) in the HEIS online system.-Follow the FO procedures linked to the HEIS system.-Inform promptly the Assistant Manager or FOM whenever there are issues either with the system or with the data collected by the reception team.-Make a follow up with guest and Front office team if the data given for the in house guests are not correct.-Control that the system is always updated at the beginning and during every shift (AM, PM and night).-In charge of filing all guest data after update in the HEIS system.-Handle all internal inquiries over the phone.
REQUIREMENTS:
Skills-Level of Education Associate Areas of study Hospitality Professional experiences 1 to 2 years Languages essential Arabic, English-Essential and optional requirements-Computer Literate - can type in Arabic-Opra2018-12-08 18:02:27 |
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Sr. Business Analyst
INR7"YEARLY"
Sr. Business AnalystFull Time (7-10 Yrs )Amazon UAE |
Dubai (dubai)
Not Mentioned
dubai (dubai)
0dubai (dubai)
|
04-12-2018 2019-03-04DESCRIPTION PayFort Team manages all Amazon branded payment offerings, for Middle East and Africa. These offerings are growing rapidly and we are continuously adding new market-leading features and launching new products. Our payments products (Credit and Debit Cards, Local Payment Methods within every country, Installments, etc.) provide the most innovative payment experience on Amazon and to a host of other large merchants. We build trust between buyers and online sellers by enabling consumers to transact online using the payment options they prefer with complete security and peace of mind while supporting the most popular payment methods available globally.
PAYFORT is part of Souq Group, established in 2013. PAYFORT is regional expert in payment processing technology and solutions across major markets in the GCC & Levant countries, operating in UAE, Egypt, Saudi Arabia, Lebanon, Jordan and Qatar.
Our team of high caliber software developers, analysts and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between approval rates and fraud. We work closely with product managers from Amazon retail / digital and external merchant to understand their business, collect requirements and deliver high value analytics and insights from a payments perspective that drive acquisition, usage and loyalty. Our petabytes of data has the ability to improve the shopping experience for hundreds of millions of consumers worldwide. Our goal is to delight our customers with their purchasing experience. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the world.We are looking for an outstanding Business / data Analyst that is able to comprehend the details behind the Amazon Payments Products business, understand/clarify business requirements, transform volumes of data into actionable insights, help us improve our payment success rate/models by initiating innovative/creative projects, lead analytical discussions and road map, work across teams and influence the analytical direction of external teams, combine expert statistical/modeling knowledge with programming skills to manage and deliver on complex/critical analysis projects, independently identify and resolve business/technical issues, develop best practices and support our product managers across the region. Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, innovative and actionable.ResponsibilitiesYou know and love working with business intelligence tools, can build statistical models using multidimensional datasets and can partner with business owners to answer key questions. You are analytical, innovative, creative, disruptive, and you dont give up. In this role you will have an opportunity to add new products to our inventory, influence targeting strategy for our products, implement end to end reporting solutions both for Amazon / external merchants and support product managers in their day to day testing and business needs.You will also have the opportunity to display your skills in the following areas:- Interface with product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Make recommendations for new metrics, techniques, and strategies to improve campaign targeting and measurement.
- Improve Amazon Payment Products targeting capabilities/products and help business owners uncover hidden opportunities using data, analytics and machine learning.
- Provide ad-hoc and automated access to large data sets.
- Understand business and product strategies, goals and objectives. Set the analytics roadmap to drive the goals of the business.
- Own the analytics for one or more product areas, lead planning, execution and delivery of projects for that area(s), manage stakeholders and internal customer/client needs/requestsBASIC QUALIFICATIONS BASIC QUALIFICATIONS- Bachelors degree in Computer Science, Mathematics, Statistics, Finance or related technical field.
- 7 years of relevant employment experience.
- 3 years of hands on experience in SQL, Excel, Linux and OLAP
- 3 years of hands on experience in SAS, R and/or Python (data extraction, manipulation, statistical analysis and predictive modeling)
- 2 years of experience in projects involving cross-functional teams and successfully completing 3-6 projects
- 5 years of experience in data mining using databases in a business environment with large-scale, complex datasets
- 5 years of experience in driving actionable insights and successful completion of 5-10 high business impact projects
- Proven track record of strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams across the worldPREFERRED QUALIFICATIONS PREFERRED QUALIFICATIONS- An MS or PhD degree in Computer Science, Mathematics, Statistics, Finance, Machine Learning or related technical field.
- Experience in gathering requirements and formulating business metrics for reporting and analysis.
- Experience in online advertising, loyalty programs or financial services (payments products, specifically credit cards would be ideal).
- Experience with big data and object oriented programming languages (python, ruby, etc.).
- Experience in Machine learning (decision trees, multivariate and logistic regression, kNN, kMeans, etc.).
- Experience with data visualization software such as Tableau.2018-12-04 18:15:37 |
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Manager data Science etics
INR7"YEARLY"
Manager Data Science eticsFull Time (1-10 Yrs )Du Telecoms |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
27-11-2018 2019-02-25Job purposeAccountable to execute the implementation of the data Monetization Machine Learning algorithms, in line with the department roadmap and overall analytics programme.This work is delivery manager needing close collaboration with SmartDubai as with all Stakeholders as well as extensive partnership with business to joint develop Advance data Science Products to increase the business delivery of du.
REQUIREMENTS:
Minimum experience:Total work experience to be at least 5 yearsAn operational & substantial experience (at least 2 years) in similar position experience in a Telecom companyMinimum 4 year in building advance algorithms solutions.Knowledge of Big data Solution tools is a plusHigh level project management experience, for IS projectsMinimum education:Minimum Bachelors Degree, preferably on Mathematics, Statistics.Alternatively Computer Science Degree with Masters Degree with a high Mathematical content (e.g. AI)Knowledge and skills:Proficient English communication and negotiation skillsExcellent understanding and proficiency of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.Great proficiency in applied statistics skills, such as distributions, statistical testing, regression, etc.Presentation & Meeting skillsProficiency in using query languages SQL and Hive.Experience with common data science toolkits such as R, NumPy or SparkML is preferable.Experience with data visualization tools such as D3.js, GGplot, etc. is desirable.Experience in using Spark Programming languages (Python, Scala) is a plus.High level Project Management skills.Excellent Analytical skills.Proactive and a highly creative person.Precise and thorough,Respectful of deadlines.2018-11-27 22:14:00 |
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AVP Technical data Platforms - FS/Banking 
INR7"YEARLY"
AVP Technical Data Platforms - FS/BankingFull Time (1-10 Yrs )NSI & Bluefin Talent |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
17-12-2018 2019-03-17A leading retail bank in the UAE is looking to hire anAVP Technical data Platforms leads a team of data practitioners Senior data Engineers, data Engineers, Senior Analytics Platform Specialist and Analytics Platform Specialist. The role is mainly an operational role, ensuring the data platforms are well managed and meeting performance requirements and user needs. The role also is required to ensure architectural standards and patterns are defined and adhered to and optimize the data ingestion process.The AVP Technical data Platforms is responsible and accountable for data platforms i.e. the efficient running of Hadoop, SAP HANA, Informatica administration, SAS and Microsoft Power BI. The role is required to work closely with Business and Technology stakeholders.This role involves ensuring the data platforms are meeting security requirements, are used efficiently by different workloads e.g. applications, data scientists, analytical users. There is also the need to audit and monitor activity. A key part of the role is resource management e.g. working with resource and product vendors scaling to provide resources to meet delivery demand. A key requirement is Servant Leadership, creating an environment where the engineers are empowered and encouraged to grow and build expertise and ownership. The role involves team management including recruiting of FTE and contractors and ensuring individuals careers and performance is managed according to HR policies.The role requires an Agile mindset as well as building an Agile culture as defined by the LEAP Strategy. The role also is required to adopt a continuous improvement approach to delivery and automation implementation e.g. DevOps, CI/CD. For example, as part of a well-managed platform, the source code is promoted in a rigorous and auditable manner.Job Content:data and Platform ManagementMonitor platform capacity and usage metricsCapture performance metricsMonitor user accessEnsure data security policy and procedures have been implementedImplement measuresdata Platform UtilizationAllocate user workspace and sandboxEnsure data is protectedManage platform capacityTeam managementResource planningTeam skills matrixManage resource utilization, demand, skills shortagesTeam development, empowermentFinancial ManagementCreate project codesEnsure resources cost recoverEnsure vendor billing is accurateEnsure invoices are processed in a timely mannerAutomationAdopt Continuous Integration and Continuous DeploymentTest case automation
REQUIREMENTS:
Bachelor of Computer Science or EquivalentRelevant CertificationMinimum 10 years of professional experience in Banking & Finance industryMinimum 5 years professional experience in data Warehouse and AnalyticsKnowledge/exposure to Modern data Warehouse Architecture and Analytics platformsAgile working practices2 years data Engineering experience or analytics experience2 years experience of DevOps, CI/CD5 years experience of managing large team >8 4+ years of working experience with ETL tool, preferably InformaticaSolid knowledge of data Warehouse principles5 years Experience of working with Hadoop or HANA,Experience of working with Hadoop related tools e.g. Spark, Scoop2 years Experience of working in Agile teams as part of a squad.2-year Experience of technical aspects of data Governance including glossary, metadata, data quality, master data management & data lifecycle management2018-12-17 00:34:46 |
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AVP data Ingestion - FS/Banking
INR7"YEARLY"
AVP Data Ingestion - FS/BankingFull Time (1-10 Yrs )NSI & Bluefin Talent |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
17-12-2018 2019-03-17A leading bank in UAE is looking to hire an AVP data Ingestion who will lead a team of data practitioners Senior data Engineers and data Engineers. The role is mainly an operational role, ensuring the data ingestion process is well managed and delivery focused, ensuring delivery commitments are achieved. The role also is required to ensure architectural standards and patterns are defined and adhered to and optimize the data ingestion process.The AVP data Ingestion is responsible and accountable for data integration i.e. loading data from source systems into the data platforms, Hadoop, HANA Financial Services data Platform or any other platforms. The main tools of use are Informatica Big data Management. Going forward the data ingestion will include real-time data ingestion using KAFKA and Informatica Big data Streaming. The role is required to work closely with Business and Technology stakeholders.Job Contents:data Ingestiondata IntegrationEnsure data security policy and procedures have been implementedImplement data profilingImplement data lineage and metadata managementdata TransformationTransform data from Hadoop to SAP FSDPEnsure data consistency and integritydata Profiling and metadata managementCreate data lineageCapture meta dataCreate data associations and mapsTeam managementResource planningTeam skills matrixManage resource utilization, demand, skills shortagesTeam development, empowermentFinancial managementCreate project codesEnsure resources cost recoverEnsure vendor billing is accurateEnsure invoices are processed in a timely mannerAutomation Adopt Continuous Integration and Continuous DeploymentTest case automation
REQUIREMENTS:
Bachelor of Computer Science or EquivalentRelevant CertificationMinimum 10 years of professional experience in Banking & Finance industryMinimum 5 years professional experience in data Warehouse, and 5 years of data ingestionKnowledge/exposure to Modern data Warehouse Architecture4+ years of working experience with ETL tool, preferably InformaticaSolid knowledge of data Warehouse principles2 years Experience of working with HadoopExperience of working with Hadoop related tools e.g. Spark, Sqoop2 years Experience of working in Agile teams as part of a squad.1-year Experience of technical aspects of data Governance including glossary, metadata, data quality, master data management & data life cycle management2018-12-17 00:34:46 |
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Senior Manager data Science FS Consulting
INR7"YEARLY"
Senior Manager Data Science FS ConsultingFull Time (1-10 Yrs )NSI & Bluefin Talent |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
17-12-2018 2019-03-17We are looking for dynamic, flexible, proactive and hardworking experienced consultants who have a passion for shaping financial services positively in the GCC over the coming years.Responsibilities: Build the analytics business in the Middle East in the areas of:- Customer & marketing: next best action, customer profiling, digital and social media, churn and attrition, fees and pricing optimization, customer lifetime value, marketing effectiveness etc. - Operations: operational efficiency, productivity, branch network analysis etc.- Financial Crime: Financial Crime risk models, AML transaction monitoring optimization, Sanctions customer screening/payment filtering optimization, Fraud detection - Management information business intelligence and visualization, management reporting with BI dashboards, real-time analytics dashboards, what-if analysis, data marts etc.Responsible for sales and delivery of analytics proposition and build the team to ensure itself as one of the major players in the region.Developing innovative solutions using cutting edge technologies, structured and unstructured information.Working with a range of global alliance partners from the largest (Microsoft, Oracle, Google, SAS) to SMEs specializing in specific technologies or industry verticals.Manage sales pitches to clients and ensure growth of the analytics platform in FSManage assignments including day-to-day follow up on project teams and ensuring analytics targets are met.In addition to the above, embed analytics proposition into other likely propositions within the financial consulting practice and ensure integrated concepts are taken to the clients and analytics capabilities are leveraged to the fullest.Build and enhance analytics team capabilities by always being up to date with analytics trends and understanding the impact on our clients so that you can help shape their thinking and our success in the market.Work with Partners & Directors to support internal thought leadership development on industry specific offerings.Develop propositions and impart this knowledge to Managers, Assistant Managers, Consultants and Senior Consultants.Coach and mentor junior resources around industry business drivers and Analytics technical capabilities.Work with colleagues in all Middle Eastern offices on client work and internal initiatives as well as with international teams where appropriate.Keep up to date with current trends from the region and from across the world. Demonstrate teamwork and responsibility with the engagement team members; stay abreast of current business and economic developments relevant to the clients business; and use current technology and tools to enhance the effectiveness of services provided.Whilst being an integral part of the Analytics team, you will have a great opportunity building and shaping the team, you will develop your understanding of the key themes in the market and in the region. You will work collaboratively with other Financial Services experts to shape the future of our clients and to bring about positive change.
REQUIREMENTS:
Education: Masters degree in Mathematics or Statistics is a must. Preferable qualifications: PhD in a Mathematics related field is a plus. Years of Experience: 10+ years of experience in Analytics & data mining in Financial Services field. Strong experience in Retail and Commercial banking.Minimum 10 years of experience within a professional services environment.Previous experience within the Middle East is a plus.In depth understanding of predictive analytics, machine learning, social network analysis and data visualization. Expert in mathematical modelling and using tools for data analytics and mining. Proven IT skills in analytical tools (Python, SAS, R, Tableau, QlikView etc.) Excellent organizational skills, having the ability to priorities work load whilst being resilient and being able to cope well under pressure and meeting tight deadlines.Language Skills: Excellent communication skills (verbal and written), particularly ability to articulate concepts and recommendations in written form (PowerPoint reports, data visualization etc.).The ability and willingness to travel within the Middle East and worldwide where the project dictates.Strong ability to be flexible and adaptive daily. Strong ability to work independently and as part of a team with a fast pace and a high energy that will translate into a high-quality output. In depth financial sector acumen and the underlying market forces affecting the performance of organizations and their strategic objectives.Demonstrated track record in business development and sales. Should have a track record in relationship management and business development.Should have gained previous experience in managing staff and the ability to demonstrate leadership skills.Proven strong conceptualized thinking and analytical capabilities.Demonstrated high quality planning and execution capabilities.2018-12-17 00:34:20 |
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Senior Manager data Science FS Consulting Dubai
INR7"YEARLY"
Senior Manager Data Science FS Consulting DubaiFull Time (1-10 Yrs )NSI & Bluefin Talent |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
14-12-2018 2019-03-14We are looking for dynamic, flexible, proactive and hardworking experienced consultants who have a passion for shaping financial services positively in the GCC over the coming years.Responsibilities: Build the analytics business in the Middle East in the areas of:oCustomer & marketing: next best action, customer profiling, digital and social media, churn and attrition, fees and pricing optimization, customer lifetime value, marketing effectiveness etc. oOperations: operational efficiency, productivity, branch network analysis etc.oFinancial Crime: Financial Crime risk models, AML transaction monitoring optimization, Sanctions customer screening/payment filtering optimization, Fraud detection oManagement information business intelligence and visualization, management reporting with BI dashboards, real-time analytics dashboards, what-if analysis, data marts etc.Responsible for sales and delivery of analytics proposition and build the team to ensure itself as one of the major players in the region.Developing innovative solutions using cutting edge technologies, structured and unstructured information.Working with a range of global alliance partners from the largest (Microsoft, Oracle, Google, SAS) to SMEs specializing in specific technologies or industry verticals.Manage sales pitches to clients and ensure growth of the analytics platform in FSManage assignments including day-to-day follow up on project teams and ensuring analytics targets are met.In addition to the above, embed analytics proposition into other likely propositions within the financial consulting practice and ensure integrated concepts are taken to the clients and analytics capabilities are leveraged to the fullest.Build and enhance analytics team capabilities by always being up to date with analytics trends and understanding the impact on our clients so that you can help shape their thinking and our success in the market.Work with Partners & Directors to support internal thought leadership development on industry specific offerings.Develop propositions and impart this knowledge to Managers, Assistant Managers, Consultants and Senior Consultants.Coach and mentor junior resources around industry business drivers and Analytics technical capabilities.Work with colleagues in all Middle Eastern offices on client work and internal initiatives as well as with international teams where appropriate.Keep up to date with current trends from the region and from across the world. Demonstrate teamwork and responsibility with the engagement team members; stay abreast of current business and economic developments relevant to the clients business; and use current technology and tools to enhance the effectiveness of services provided.Whilst being an integral part of the Analytics team, you will have a great opportunity building and shaping the team, you will develop your understanding of the key themes in the market and in the region. You will work collaboratively with other Financial Services experts to shape the future of our clients and to bring about positive change.
REQUIREMENTS:
Education: Masters degree in Mathematics or Statistics is a must. Preferable qualifications: PhD in a Mathematics related field is a plus. Years of Experience: 10+ years of experience in Analytics & data mining in Financial Services field. Strong experience in Retail and Commercial banking.Minimum 10 years of experience within a professional services environment.Previous experience within the Middle East is a plus.In depth understanding of predictive analytics, machine learning, social network analysis and data visualization. Expert in mathematical modelling and using tools for data analytics and mining. Proven IT skills in analytical tools (Python, SAS, R, Tableau, QlikView etc.) Excellent organizational skills, having the ability to priorities work load whilst being resilient and being able to cope well under pressure and meeting tight deadlines.Language Skills: Excellent communication skills (verbal and written), particularly ability to articulate concepts and recommendations in written form (PowerPoint reports, data visualization etc.).The ability and willingness to travel within the Middle East and worldwide where the project dictates.Strong ability to be flexible and adaptive daily. Strong ability to work independently and as part of a team with a fast pace and a high energy that will translate into a high-quality output. In depth financial sector acumen and the underlying market forces affecting the performance of organizations and their strategic objectives.Demonstrated track record in business development and sales. Should have a track record in relationship management and business development.Should have gained previous experience in managing staff and the ability to demonstrate leadership skills.Proven strong conceptualized thinking and analytical capabilities.Demonstrated high quality planning and execution capabilities.2018-12-14 00:05:14 |
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data Scientist - Supply Chain
INR7"YEARLY"
Data Scientist - Supply ChainFull Time (1-10 Yrs )Souq.com |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
14-12-2018 2019-03-14DESCRIPTIONExcited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models Want to help set the standard in data science for operations Want to solve complex problems with science and see your solution implemented in the field, impacting hundreds of thousands employees and dozens of millions customersAt Amazon Supply Chain Middle East, we are forecasting, planning, and optimizing in real time the flow of millions of products and orders each day across the Middle East throughout our fulfillment network. We apply machine learning, operations research, and commons sense to large volumes of data and against a wide spectrum of problems. In particular, the Supply Chain Business Intelligence team is paving the way towards an optimized and automated planning and execution of Middle Eastern operations. This is a very exposed team at the cross-road between Retail, Operations, and Software Development.A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of industry-AI.You will:Interact with engineering, operations, BI and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements that you will leverage to build scalable mathematical models to derive optimal or near-optimal solutions.Design and develop complex mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutionsEnsure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, Visualization, etc.Clean, analyze and select data to achieve goals.Build and release statistical models that elevate the customer experience and track impact over time.You maintain rigorous statistical standards and take ownership of the outcome your analyses suggest.When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage.Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.
REQUIREMENTS:
BASIC QUALIFICATIONSBachelors or Master Degree in Statistics, Economics, Operations Management, Finance, Computer Science, or a related field6+ years experience in data Analysis, Business Analytics, Business Intelligence, or related technical field working as Research scientist/data Scientist.PREFERRED QUALIFICATIONSPhD in Statistics, Economics, Operations Management, Finance, Computer Science, or a related fieldProven experience in building statistical models using R, Python or a related software with a willingness to learn and develop additional skills in statistical model, machine learning, and large-scale scientific computing.Practical experience in implementing optimization models and tools through the use of high-level modeling languagesTrack record of diving into data to discover hidden patterns and of conducting error/deviation analysis.High-level knowledge of various machine learning techniques and key parameters that affect their performance.Ability to communicate relevant scientific insights from data to senior business leaders, financial analysts, and product managers.Experience with large data sets, big data and analytics.Extensive theoretical statistical training, including the ability to carefully adapt/modify existing statistical tools to accommodate new applied use cases.Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives.Prior background in machine learning and forecasting is a plus.Supply Chain operations planning and materials management experience and/or prior role in supporting supply chain business processes.2018-12-14 00:05:14 |
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data Scientist - Supply Chain
INR7"YEARLY"
Data Scientist - Supply ChainFull Time (6-9 Yrs )Amazon UAE |
Dubai (dubai)
Not Mentioned
dubai (dubai)
0dubai (dubai)
|
13-12-2018 2019-03-13DESCRIPTION Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models Want to help set the standard in data science for operations Want to solve complex problems with science and see your solution implemented in the field, impacting hundreds of thousands employees and dozens of millions customers
At Amazon Supply Chain Middle East, we are forecasting, planning, and optimizing in real time the flow of millions of products and orders each day across the Middle East throughout our fulfillment network. We apply machine learning, operations research, and commons sense to large volumes of data and against a wide spectrum of problems. In particular, the Supply Chain Business Intelligence team is paving the way towards an optimized and automated planning and execution of Middle Eastern operations. This is a very exposed team at the cross-road between Retail, Operations, and Software Development.A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of industry-AI.You will:
Interact with engineering, operations, BI and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements that you will leverage to build scalable mathematical models to derive optimal or near-optimal solutions.
Design and develop complex mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions
Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, Visualization, etc.
Clean, analyze and select data to achieve goals.
Build and release statistical models that elevate the customer experience and track impact over time.
You maintain rigorous statistical standards and take ownership of the outcome your analyses suggest.
When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage.
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.BASIC QUALIFICATIONS - Bachelors or Master Degree in Statistics, Economics, Operations Management, Finance, Computer Science, or a related field
6 years experience in data Analysis, Business Analytics, Business Intelligence, or related technical field working as Research scientist/data Scientist.PREFERRED QUALIFICATIONS - PhD in Statistics, Economics, Operations Management, Finance, Computer Science, or a related field
Proven experience in building statistical models using R, Python or a related software with a willingness to learn and develop additional skills in statistical model, machine learning, and large-scale scientific computing.
Practical experience in implementing optimization models and tools through the use of high-level modeling languages
Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis.
High-level knowledge of various machine learning techniques and key parameters that affect their performance.
Ability to communicate relevant scientific insights from data to senior business leaders, financial analysts, and product managers.
Experience with large data sets, big data and analytics.
Extensive theoretical statistical training, including the ability to carefully adapt/modify existing statistical tools to accommodate new applied use cases.
Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives.
Prior background in machine learning and forecasting is a plus.
Supply Chain operations planning and materials management experience and/or prior role in supporting supply chain business processes.2018-12-13 00:36:06 |
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Big data Solutions Architect
INR7"YEARLY"
Big Data Solutions ArchitectFull Time (10-13 Yrs )DXC Technologies |
Dubai (dubai)
Not Mentioned
dubai (dubai)
0dubai (dubai)
|
13-12-2018 2019-03-13Encompasses multiple disciplines, including technology architects, solution architects, and enterprise architects. Architects: Are responsible for delivering business value to customers by architecting effective information systems solutions that address the customers business problems, needs and opportunities, in a manner consistent with companys strategic and business goals. Have knowledge of architectural frameworks, methodologies, and tools and understand how to apply this knowledge to successfully deliver customer projects. Establish and maintain a professional working relationship at multiple levels both internally and with the customer by understanding the customers business context and their unique situation. Collaborate with both internal and external/industry experts to anticipate customer needs in order to facilitate the definition and development of the solution. Strong supporters of the professional development framework for their profession and use the knowledge and best practice derived from their professional associations to the benefit of their customers. Collaborate with project managers to ensure effective and efficient development, delivery, deployment, operation and support of these IS solutions. Collaborate with the account team to meet or exceed revenue, product, customer satisfaction and market share goals for assigned account(s).Responsibilities:The role is responsible for strategically across the Information Architecture function from both a business and technology perspective, while also applying detailed technical knowledge and experience to ensure that the solutions developed satisfy the business requirements.Design, develop and govern the Big data Solution Architecture with Information Management strategies, ensuring appropriate balance between functional, service quality and systems management requirements.
Oversee solution design and development to meet specific new business demand or enhancements and coordinate development of a cohesive technical solution estimate for proposed business needs.
Participate in planning, definition, and high-level design of the solution and explore solution alternatives.
Take full ownership and collaborate closely with sales executives to build viable, robust, and performant big data solutions.
Provide expert solution design consultancy and coaching to the agile delivery teams including standards, exception handling and information architectural patterns.
Lead solution design reviews ensuring that delivery teams are following agreed strategic direction and alignment to architectural standards and patterns.
Track technology and new business innovations, determine how they relate to the data strategies and existing standards, platforms and patterns, and lead the work to amend the existing assets or create new assets to reflect changes in the technology landscape.
Responsible from the technical and commercial communications with the customer and presenting the solutions.Education and Experience Required:10 years experience in Information & Analytics Technologies
Experience in a services/consulting company is essential
Extensive experience in analytics / BI system architectures and design including technical leadership
Advanced skills in design of BI solutions and data Models
Knowledge of data flow and modelling best practises.
Bridging the gap between Functional and Technical teams especially in an agile development environment
Experience in architecting and maintaining big data systems and technologies such as: Business Intelligence tools such as MicroStrategy, Tableau, Qlik, SAP BO etc.
Proven experience in developing Big data solutions in Hadoop Ecosystem (Cloudera, Hortonworks etc.) using Apache Kafka, Flume, Sqoop, Apache Atlas, Hive, Impala, HDFS, HBase and Spark
Major vendor big data & enterprise analytics information platforms such as Oracle Exadata, Teradata, Vertica, Greenplum, SAP Hana etc.
Advanced analytics tools such as data science platforms
data integration tools such as ODI, Informatica, Apache KafkaKnowledge and Skills:Demonstrable experience of which at least two years should be at a supervisory level related to Information & Analytics architecture.
Experience in large corporate and multi-cultural environments would be advantageous.Enterprise level Business Intelligence EIA Platforms
Business Information Architectures
Systems EIA Architecture, strategy & planning and standards
Emerging EIA technologiesJob specific CompetenciesCollaboration
Stakeholder management
Engaging Other
Providing Direction
Deliver the solution
Drive the business2018-12-13 00:34:00 |
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data Engineer
INR7"YEARLY"
Data EngineerFull Time (1-10 Yrs )Global Hotel Alliance (GHA) |
Dubai
United Arab Emirates
United Arab Emirates
0dubai
|
05-12-2018 2019-03-05Production support and maintenance of data systems and processesDesign and create data models based on various business requirementCreate database objects such as tables, views to build data proof-of-concept projectsDesign packages related to the extraction, transformation and loading (ETL) process using Oracle PL/SQLReviewing query performance and optimizing codeCreating table indexes to improve database performance and apply appropriate index maintenanceResponsible for data profiling as well as SQL and database tuning / optimizationAnalyze the client requirements and design technical solutions based on those requirementsExecute testing and implementation strategy, conduct appropriate functional and performance testing to identify and resolve process bottlenecks and data quality issuesLeverage self-service visualization tools to provide actionable insights into key business performance metricsDevelop applications from ground up using modern Analytics and BI platformsEnsure code security, integrate continuously and ship code into our cloud Production environmentsParticipate in development and creation of a new enterprise data warehouseAbility to grasp new technologies, quantitative methods and advanced analytics rapidly as needed to progress varied initiatives
REQUIREMENTS:
The role of the data Engineer is to provide your passion for data prep and analysis to generate actionable insights that we will use to improve the experience for our member brands and clients. As a member of the analytics team, you will collaborate with different stakeholders, partners, vendors and product owners to design, implement and support the data architecture for advanced analytics.To be successful in the role you will need to be intellectually curious, detail-oriented, open to new ideas, and possess a strong aptitude for visualization best practices and analytical methods.Knowledge of scripting languages such as Python, JavaScript, shell scripts, and TensorFlow is a plus.This is a mid-level position for engineers of 2-4 years of experience.Bachelors Degree in Computer Science (CS), Information System (IS), Management of Information System (MIS), Statistics, Analytical Finance, etc.2-4 years of practical experience with SQL technologies or ETL platforms as well as creation of stored proceduresAbility to write & troubleshoot SQL code & design stored procedures, functions, tables, views, indexes, & constraintsExcellent communication and analytical skillsAbility to work in team environment and client interfacing skills2018-12-05 01:11:46 |
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