ETL QA Engineer
Job in
Woodland Hills, Los Angeles County, California, 91364, USA
Listed on 2026-06-28
Listing for:
United IT
Full Time
position Listed on 2026-06-28
Job specializations:
-
IT/Tech
IT QA Tester / Automation, Data Engineering, Data Analyst
Job Description & How to Apply Below
ETL QA Engineer
Woodland Hills, Los Angeles, CA
Must Have Technical/Functional
Skills:
- Agile & Scrum Expertise
- Analytical & Decision-Making Skills
- Communication & Stakeholder Management
- Technical & Domain Awareness:
Property & Casualty Insurance domain (Auto, Home, Umbrella LOBs) - Common Tools & Artifacts:
Rally
Key Responsibilities:
- Validate source to target data mappings for accuracy and business correctness.
- Perform data reconciliation between source systems and target databases.
- Verify ETL transformations, aggregations, calculations, and derivations.
- Perform end to end data flow validation (Source → Staging → Target).
- Validate business transformation rules against functional requirements.
- Ensure compliance with domain specific rules (property & casualty insurance)
- Collaborate with Business SMEs to ensure data meaning is preserved after transformation
- Create and maintain: ETL test strategy, Test scenarios and test cases, Data validation checklists
- Design test cases for:
Full loads, Incremental loads, Delta and historical data loads - Execute testing for:
Smoke testing, System Integration Testing (SIT), UAT support, Reconciliation and regression testing - Identify, log, and track ETL defects with clear root cause analysis.
- Work closely with ETL developers and data engineers to resolve issues.
- Validate defect fixes through re testing and impact analysis.
- Produce data quality and test execution reports.
Required
Skills and Experience:
- Hands-on experience in executing projects in Agile methodology
- Strong experience in ETL testing and data validation.
- Solid understanding of ETL architecture and data pipelines.
- Hands on expertise in SQL (advanced queries, joins, aggregates).
- Strong understanding of SDLC / STLC, especially in data centric projects
Nice to Have:
- Technology Awareness
- Communication & Influence Skills
- Leadership & Soft Skills
- Coaching & Facilitation
- Risk management
- Understanding on Snowflake architecture
- Knowledge on Gui dewire Policy center - Create submissions, policy changes on GWPC screens for validations.
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