Senior ETL / Data QA Engineer

Experience: 610 Years
Locations: Bangalore | Noida | Pune | Gurugram
Role: Senior ETL / Data QA Engineer

Job Summary

We are looking for an experienced ETL / Data QA Engineer with 610 years of experience in ETL testing, data validation, robust SQL, Python, and GCP data platforms. The candidate will be responsible for validating end-to-end data pipelines, ensuring data accuracy and completeness, and identifying data quality issues across source systems, transformation layers, and target data warehouses.

Key Responsibilities
- Design, develop, and execute ETL test cases and test scenarios for end-to-end data pipelines.
- Perform source-to-target data validation and reconciliation using complex SQL queries.
- Validate data transformation, mapping, business rules, aggregations, joins, and data completeness.
- Perform data quality testing including null, duplicate, count, datatype, referential integrity, and boundary checks.
- Test ETL pipelines running on GCP, particularly BigQuery and DataProc.




- Validate and monitor workflows orchestrated through Apache Airflow.
- Develop Python scripts for test automation, data validation, and ETL testing.
- Work with DBT models and validate transformation logic and data quality.
- Perform regression testing whenever ETL pipelines, data models, or business rules are changed.
- Validate data across multiple sources and target systems, including SAS databases.
- Identify, document, track, and manage defects through the complete defect lifecycle.
- Collaborate with Data Engineers, Developers, Business Analysts, and Product teams to resolve data issues.
- Support production validation, root-cause analysis, and troubleshooting of data pipeline failures.
- Contribute to improving automated data quality and testing frameworks.

Mandatory Skills
- 6–10 years of overall QA / ETL Testing experience
- Strong hands-on experience in ETL Testing / Data Testing
- Strong SQL skills with complex queries
- Good program

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