Onsite ETL QA Engineer - Data Quality & Validation Pro

Position:

ETL QA Engineer

Location:

Woodland Hills, CA / Los Angeles, CA (Onsite)

Duration: 6+ months contract

Job Description:

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 Guidewire Policy center – Create submissions, policy changes on GWPC screens for validations.

Skills:

Informatica Power centre~Test Management Experience

Required:

8-10