- Analyze business requirements, source-to-target mappings, and data models.
- Develop test plans, test scenarios, test cases, and test scripts for ETL processes.
- Validate data extraction, transformation, and loading between source and target systems.
- Perform Data Warehouse, ETL, Data Migration, Regression, and Integration Testing.
- Verify data quality, data integrity, data reconciliation, and data completeness.
- Execute SQL queries for data validation and backend testing.
- Identify, track, and resolve data-related defects.
- Validate large-scale datasets and data pipelines.
- Collaborate with ETL developers, data engineers, business analysts, and stakeholders.
- Participate in Agile/Scrum ceremonies and release testing activities.
- Generate test execution reports and quality metrics.