Data Quality Engineer

Innova ESI; Bengaluru; On-site; INR 1,100,000 - 1,700,000; Full time

Job summary

Innova ESI Pvt Ltd in Bengaluru is seeking a seasoned QA engineer specialized in data platforms to ensure end-to-end data integrity across ingestion, transformation, and reporting layers. You will validate pipelines, tables, and business rules, and write SQL queries for data reconciliation and profiling.

Join a team of Data Engineers and BI developers to test data migrations, validate Power BI dashboards, and craft realistic test data for functional and regression testing, including UAT support

Qualifications

• Testing mindset and strong 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

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

Skills

Testing mindset

Advanced SQL

Data validation

Cloud data platforms

Power BI testing

Analytical & communication

Tools

Spark

Notebooks

Power BI

Job description

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 strong 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

• 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.