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Data Architech ETL

5.00 to 7.00 Years   Mumbai City   18 Oct, 2019
JPMorgan
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

The Consumer Banking Specialist is responsible for providing timely resolutions to our Consumer and Community Banking customer s queries. They will connect with our customers through inbound/outbound calls regarding transactions on their accounts such as payments, loans, charges/fees, interest rates, rewards and other issues.Data and Analytics Data Management provides providing Data Architecture support for modeling, designing and executing solutions that enable data value for our MIS partners.Responsibilities include:

  • Implement data delivery solutions -- data design, ETL procedures, end-to-end data process management, and administering enterprise controls
  • Oversee data management process - including design, documentation, maintenance, enhancements and validation
  • Designing Logical & Physical Data Models.
  • Guiding team on best practices and performance improvement.
  • Creating & maintaining Metadata Dictionary, Data Lineage and other process related documentation.
  • Programming in line with the accepted Coding Standards and Techniques.
  • Adhering to internal governance processes (promoting codes to higher environments, Time Tracking, usage of version control tool, and usage of JIRA).
  • Implementing strong control practices in the programs.
  • Responsible for high quality output of projects by effectively using industry accepted testing practices.
  • Help define processes for data architecture design review and performance optimization.
  • Provide production support of existing ETL processes.
  • Interact with multiple data sources (i.e. Oracle, Teradata, Informix, flatfiles,DB2).
  • Develop, document and maintain functional, technical & business test scripts and results.
  • 5+ years of experience leading and working on MSBI tool set (especially SSIS ) and various data sources.
  • Very sound knowledge on designing Logical & Physical Data Models.
  • Very good PL/SQL coding required to transform the transactional data and load them as per business needs.
  • Demonstrated knowledge of ETL concepts such as data integration, enrichment, consolidation and aggregation; change, data capture and transformation; error handling. Experience in data extraction; Transforming and Loading using tools in SQL Server Integration Services.
  • Adapts ETL processes to accommodate changes in source systems and new business user requirements.
  • Familiarity with semantic layers and creating dimensional models.
  • Familiarity with data warehousing concepts, especially OLAP
  • Exposure to Big Data technologies and migrating the RDBMS datasets to Hadoop is an added advantage.
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Keyskills :
ew business big data version control data management interest rates design review data extraction sql server

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