We are seeking a detail-oriented Data QA Engineer to support the validation and quality assurance of data platforms, analytics solutions, and reporting systems. The ideal candidate will have strong fundamentals in testing, data validation, SQL querying, and API testing, with an interest in working with modern data ecosystems. Exposure to BI testing, Databricks, and Microsoft Fabric is highly desirable.

Required Skills & Qualifications
3+ years of experience in Quality Assurance, Data Testing, or Software Testing.
Good understanding of QA methodologies, SDLC, STLC, and defect management processes.
Strong SQL skills with the ability to write queries involving joins, aggregations, and data validation checks.
Experience performing manual testing of data-intensive applications or backend systems.
Basic API testing experience using tools such as Postman.
Robust analytical, troubleshooting, and problem-solving skills.
Ability to create explicit test documentation, defect reports, and test execution summaries.
Good communication and collaboration skills.

Good to Have




Exposure to Business Intelligence (BI) Testing involving reports, dashboards, and analytics validation.
Familiarity with Databricks and data lakehouse concepts.
Exposure to Microsoft Fabric, including data pipelines, warehouse, lakehouse, or reporting components.
Understanding of ETL/ELT testing concepts and data reconciliation techniques.
Knowledge of cloud data platforms such as Azure Data Services.
Basic understanding of data warehousing and dimensional modeling concepts.

Skilled Skills:
Solid written, verbal, and presentation communication skills
Solid team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Self-sufficient, independent requiring very little supervision or intervention
Demonstrate flexibility and openness to bring creative solutions to address issues

📌 Qa Engineer Pune (India)
🏢 BridgeNext
📍 India