QA Lead

Job Description

Quality Assurance ETL QA Engineer - Lead (6-10 Years) Looking for Immediate joiners in Bangalore (Indra Nagar) Bangalore - Full Time (Hybrid) About the Role: As a Lead ETL QA Engineer, you will drive the QA strategy and execution for a major data pipeline modernization initiative on Azure and Snowflake. This role requires a deep understanding of data quality frameworks, test planning, and stakeholder engagement. The candidate should possess leadership capabilities and be hands-on with SQL and automation. The job responsibilities are as follows: • Own QA strategy and execution for Azure-based data engineering projects. • Define test plans and ensure traceability across test artifacts, requirements, and defects. • Lead validation of Snowflake-based data lakes, transformations, and Power BI dashboards. • Guide the QA team in testing complex SQL logic, Data Vault structures, and downstream integrations. • Coordinate with product owners, architects, and developers to align test coverage with business logic. • Manage test data setup, environment readiness, and pipeline triggers for testing in CI/CD workflows. • Mentor junior team members and review their test deliverables for completeness and accuracy. • Drive test automation initiatives using Python and Selenium, where applicable. • Prepare quality metrics and test status reports for leadership and stakeholders. Desired skills and experience Must Have: • 6–10 years of QA experience with strong exposure to Azure Data Factory pipelines. • Expert in SQL, data profiling, complex joins, set operations, and anomaly detection. • Experience validating Snowflake external/internal tables and pipeline integrations. • Knowledge of Power BI reporting and back-end data validation. • Experience in test management tools, Agile ceremonies, and client interaction. • Ability to lead end-to-end test planning and delivery for large data programs. Good to Have: • Working knowledge of Data Vault modeling and related test patterns. • Automation knowledge using Selenium with Python for data workflow and Business Logic validations. • Familiarity with DevOps pipelines for test integration and execution