Data QA Lead

About the role

We are seeking an experienced Data QA Lead to drive quality assurance across our data initiatives. The role focuses on guaranteeing data accuracy, completeness, and integrity throughout the data lifecycle, working closely with engineering and business teams.

Key responsibilities

• Lead QA activities for data projects and enhancements.
• Create, execute, and maintain comprehensive test cases and test plans.
• Perform both manual and automated testing of data pipelines, ETL/ELT processes, and data warehouses.
• Validate data accuracy, completeness, and integrity using strong SQL skills.
• Identify defects, conduct root‑cause analysis, and support issue resolution.
• Collaborate with Data Engineers, Business Analysts, and stakeholders to ensure quality standards.
• Drive test automation initiatives and continuous quality improvements.

Required profile

• 6+ years of experience in Quality Assurance or Testing.
• Proven experience in manual and automation testing.
• Strong background in test case and test plan creation and execution.
• Experience testing data pipelines, ETL processes, and data warehouses.
• Solid SQL and data validation expertise.
• Experience working with data engineering teams.

Required skills

• Manual testing
• Automation testing
• SQL
• Snowflake
• Azure Data Services
• Apache Spark
• Power BI
• ETL/ELT tools
• CI/CD pipelines (nice to have)
• ISTQB or similar QA certification (nice to have)