Role: Data Quality Engineer

Location: Pan India – 4 days WFO

Experience: 8 to 10 years

Immediate Joiners Only

Key Responsibilities • Perform end-to-end data validation across ingestion, transformation, and reporting layers

- Validate data pipelines, Lakehouse/Warehouse tables, SQL endpoints, and business rules
- Write SQL queries for data reconciliation, profiling, and validation
- Test data migrations including full loads, incremental loads, and historical data validation
- Validate Power BI dashboards, KPIs, filters, and report accuracy
- Generate realistic and edge-case test data for functional and regression testing
- Execute functional, regression, integration, and UAT support testing
- Track defects, perform root cause analysis, and support resolution
- Validate data quality rules, audit fields, and reconciliation checks
- Collaborate with Data Engineers, BI Developers, and stakeholders Required Skills




- Testing mindset and robust testing experience in data platforms / ETL / BI systems
- Advanced SQL skills (joins, aggregations, reconciliation queries)
- Experience in data validation, data migration testing, and reconciliation
- Exposure to cloud data platforms (Microsoft Fabric, Synapse, Databricks, etc.)
- Experience in testing Power BI or similar reporting tools
- Strong analytical, problem-solving, and communication skills Tools & Technologies
- SQL, Microsoft Fabric (preferred), Azure cloud, Power BI Experience
- 9+ years in QA with focus on data platform testing

Ensure that the candidate got ETL/BI QE experience, writing test cases/plans, and building automated test scripts using spark/notebooks.

📌 Data Quality Engineer (Bengaluru)
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📍 Bengaluru