Role & responsibilities
Perform ETL and Data Migration testing to ensure accuracy, completeness, and consistency of migrated data.
Write and execute complex SQL queries for source-to-target data validation.
Validate ETL transformations, mappings, business rules, and data quality.
Use Python or PySpark for data validation, reconciliation, and testing large datasets.
Perform source-to-target reconciliation, record count validation, duplicate checks, null checks, and data integrity testing.
Identify, document, and track defects related to data transformation and migration.
Validate data across different databases/data warehouse settings.
Perform regression, functional, integration, and end-to-end ETL testing.
Work closely with ETL developers, data engineers, business analysts, and other stakeholders.
Prepare test scenarios, test cases, test data, and test execution reports.





Required Technical Skills
Solid hands-on experience in ETL Testing / Data Warehouse Testing.
Excellent knowledge of SQL, including joins, subqueries, aggregate functions, and complex queries.
Hands-on experience with Python OR PySpark for data processing/testing.
Robust experience in Data Migration Testing and source-to-target validation.
Understanding of ETL/data pipeline concepts, data transformations, and mapping specifications.
Experience with database systems and large-volume data validation.
Good understanding of Data Warehouse concepts, data quality, and data reconciliation.
Experience with defect tracking and test management tools such as Jira is preferred.

📌 Etl Tester Navi Mumbai
🏢 QualityKiosk Technologies
📍 Navi Mumbai