Senior Data QA Engineer

7+ years of experience in QA area 4+ years of experience as a Data QA Engineer/Data QA Analyst Deep understanding of general QA process, test design techniques and industry standards. Strong expertise in scripting programming languages (JavaScript/Python) Proven experience designing, building, and scaling Data QA processes Experience managing QA for projects and working in standard QA and project management tools like Testrails, Jira, Confluence Experience with white/grey box testing. Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Build and maintain data quality automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc. Understanding of the data governance concepts and experience with data governance tools or platforms. Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes)

Design and own data QA processes, including test documentation, incident tracking, and quality metrics. Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems. Build automated data validation frameworks. Create and maintain data quality checks, test plans, and monitoring solutions. Lead QA initiatives across data-focused projects. Develop SQL- and script-based test suites to validate data transformations. Support analytics, BI, and reporting platforms by validating data integrity. Proactively identify data quality issues and drive resolution. Integrate automated data tests into CI/CD workflows. Mentor other QA team members on data validation techniques and automation strategies.