Required Skills

ETL QA

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 8th Aug 2022

JOB DETAIL

  • Design, develop, and schedule DataStage ETL jobs to extract data from disparate source systems, transform, and load data into EDW for data mart consumption, self-service analytics, and data visualization tools.
  • Provides hands-on technical solutions to business challenges & translates them into process/technical solutions.
  • Conduct code reviews to communicate high-level design approaches with team members to validate strategic business needs and architectural guidelines are met.
  • Evaluate and recommend technical feasibility and effort estimates of proposed technology solutions.
  • Provide operational instructions for dev, QA, and production code deployments while adhering to internal Change Management processes.
  • Coordinate Control-M scheduler jobs and dependencies
  • Recommend and implement ETL process performance tuning strategies and methodologies.
  • Conducts and supports data validation, unit testing, and QA integration activities.
  • Compose and update technical documentation to ensure compliance to department policies and standards.
  • Create transformation queries, stored procedures for ETL processes, and development automations.
  • Ensure HIPPA, PHI, and regulatory compliance rules and stipulations are reinforced.

 

Minimum Requirements

Typically has 5+ years relevant experience

 

Critical Skills

 

  • Possess extensive knowledge of application modeling principles, concepts and techniques.
  • Competency in Kimball and Inmon EDW and data modeling pattern methodologies.
  • High aptitude to acquire user requirements effectively, translate into technical specifications, and develop code base to satisfy business needs.
  • Extensive database experience in one or more of the following databases: Oracle, DB2, SQL Server, Azure SQL DW, Snowflake.
  • Strong data profiling, data mining, and data analysis aptitude.
  • Complex SQL and PL/SQL development expertise.
  • Strong working knowledge of relational data marts using star schema design.
  • Comprehensive understanding of software development lifecycle and data warehousing concepts.

Company Information