We are seeking a highly skilled Senior QA Engineer with strong expertise in ETL Testing, Data Validation, and Data Warehousing to ensure the accuracy, integrity, and quality of enterprise data platforms.
The ideal candidate will have extensive experience validating complex data pipelines, performing source-to-target reconciliation, and developing automated data testing solutions
· Design, execute, and maintain comprehensive ETL and data validation test strategies.
· Validate data pipelines, transformations, and business rules across multiple source and target systems.
· Perform Source-to-Target (S2T) validation, data reconciliation, and end-to-end data flow testing.
· Develop and execute complex SQL queries for data analysis, validation, and defect investigation.
· Verify data completeness, accuracy, consistency, duplicate handling, NULL validations, and transformation logic.
· Investigate and troubleshoot data discrepancies, ETL failures, and data quality issues.
· Develop and maintain data test automation frameworks to improve testing efficiency and coverage.
· Collaborate with Data Engineers, Business Analysts, and stakeholders to ensure high-quality data delivery.
· Contribute to test planning, defect tracking, reporting, and continuous improvement initiatives.
· 5+ years of experience in QA with a strong focus on ETL Testing and Data Validation.
·Hands-on experience in ETL/Data Testing across data warehouse and analytics platforms.
·Strong SQL expertise, including complex joins, aggregations, subqueries, and data analysis.
· Solid understanding of Data Warehousing concepts, dimensional modeling, fact and dimension tables.
· Proven experience with Source-to-Target (S2T) validation, data reconciliation, and data quality testing.
· Strong understanding of ETL processes, data transformations, and end-to-end data flows.
· Experience in identifying, analyzing, and resolving data quality issues.
· Hands-on experience with ETL/Data Test Automation frameworks and tools.
· Strong analytical, troubleshooting, and problem-solving skills.
Good to Have
- Experience with Azure Data Factory (ADF).
- Exposure to ETL tools such as Talend, Informatica, SSIS, or similar platforms.
- Understanding of CI/CD practices and Agile development methodologies.
- Experience working with cloud-based data platforms and modern data architectures.
