We're looking for 8–12 years of hands-on experience in Data QA, Data Engineering QA, or Python-based automation roles and proven experience leading QA teams, test planning, estimation, execution, defect management, and end-to-end test delivery across complex data programs.
Please share an updated profile to
[email protected]
(+91)74839 25904
Mode of Work:Hybrid
Job Location:Gurugram,Pune,Bangalore
Robust stakeholder management skills with the ability to communicate test status, risks, quality metrics, and release readiness to business and technology leadership.
Experience establishing test strategies, governance frameworks, quality standards, resource planning, and mentoring distributed QA teams.
Demonstrated ability to drive cross-functional collaboration, manage competing priorities, mitigate delivery risks, and ensure successful project outcomes in Agile environments.
Strong Python skills for data validation, automation framework development, regression testing, and pipeline verification.
Working knowledge of PySpark for validating large-scale data pipelines and distributed datasets.
Solid SQL skills for source-to-target validation, reconciliation, complex queries, stored procedures, schema checks, and defect analysis.
Experience in data QA, ETL/ELT testing, data pipeline testing, and regression testing across legacy and modern platforms.· Proven experience building automation-first regression frameworks, reusable validation scripts, test cases, and data verification utilities.
Strong understanding of data quality dimensions including accuracy, completeness, consistency, timeliness, uniqueness,referential integrity, and business-rule conformance.
Experience validating metadata, schema structures, data types, constraints, lineage, transformation logic, and downstream outputs.
Exposure to CI/CD tools such as Azure DevOps, Jenkins, or GitLab, with the ability to integrate automated tests and quality gates into deployment pipelines.
Familiarity with batch
📌 Data QA Lead (Bengaluru)
🏢 Simpliigence
📍 Bengaluru