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| Requirement:

  • At least 3+ years of experience in developing ETL solutions using IBM DataStage 8.x/9.x/11.x.
  • Experience of working in DB2/Oracle/MS SQL Server Databases.
  • Work with business team to understand and design ETL solution for requirements.
  • Hands on experience in performance tuning DataStage Jobs (Parallel/Server), capacity planning and developing high volume data loads.
  • Experienced in developing Sequencer Jobs, routines.
  • Good knowledge about Orchestrate commands
  • Strong experience in developing efficient SQLs

to query Relational Databases. 

  • Hands on experience with version control systems like GIT, SVN.
  • Experience in developing Procedural Language is a plus.
  • Experienced working in an Agile environment.
  • Exposure to Banking/Mortgage domain will be plus
  • Strong communication skills.

Roles & Responsibilities:

  • Provide technical leadership and support for inbound/outbound data integration (ETL), maintenance/tuning of applications, data model changes, data profiling, data quality assessment, executing and monitoring incremental updates, and working with infrastructure and DBA teams to maintain multiple environments (development/test/production).
  • Strong performance tuning capabilities with DB2, Oracle, and stored procedures.
  • Strong UNIX and shell scripting experience is required Autosys scheduling experience.
  • Must be detail oriented and possess strong problem-solving skills.
  • Design, develop and test IBM DataStage Jobs and Sequences.
  • Develops scripts to execute and test mappings and workflows.
  • Must be facilitating the establishment and implementation of standards, guidelines and best practices that guide the various DataStage and Data Warehouse projects within the organization.
  • Able to provide data architecture solutions.
  • Strong analytical and technical aptitude experience required.
  • Work with migration team and push code changes to production.
  • Coordinate and work with testing teams during integration testing phases
  • Collaborate with source systems data stewards and technical personnel for data governance and to resolve any data quality or technical issues related to data ingestion.
  • Must be experienced on both Linux & Windows operating systems.
  • Providing guidance and assistance to team members.
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