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 solid 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)
🏢 Innova ESI
📍 Bengaluru