Data Quality Engineer - ETL/Datawarehouse Testing
Hash Root Technologies Private Ltd
Role Overview:Looking for a Test Lead / Data QA Engineer to drive and oversee data validation, manual testing, and regression testing activities across capital markets data pipelines spanning both legacy and modern platforms.Key Responsibilities:- Lead end-to-end test planning, execution, and delivery for data validation and regression testing initiatives.- Manage and mentor offshore/onshore QA teams, including resource planning and task allocation.- Drive test governance, including test strategy, defect management, and quality metrics.- Collaborate with business, engineering, and product teams to define requirements and embed quality controls.- Perform source-to-target data validation across SQL Server and cloud-based environments.- Build and maintain automation-first regression testing frameworks using Python, PySpark, and SQL.- Execute data checks across source, staging, warehouse, and data lake systems.- Integrate regression tests and quality gates into CI/CD pipelines using Azure DevOps, Jenkins, or GitLab.Tech Stack:- Python, PySpark, SQL, SQL Server, Oracle, PostgreSQL, Azure DevOps, Jenkins, GitLab, AutoSys, Control-M, Airflow, JIRA, XRay.Key Competencies:- 8-12 years of hands-on experience in Data QA, Data Engineering QA, or Python-based automation.- Strong stakeholder management and ability to communicate quality metrics to leadership.- Proven experience in establishing test strategies, governance frameworks, and mentoring distributed teams.- Solid SQL skills for source-to-target validation and complex query optimization.- Strong understanding of data quality dimensions (accuracy, completeness, consistency, lineage).- Proficiency in AI-assisted tools like Claude or GitHub Copilot for test acceleration.Nice to Have:- Exposure to Azure, AWS, ADF, containers, Kubernetes, or cloud-based data platforms.- Capital markets domain exposure (post-trade, market data, reference data).- Experience with DevSecOps and code quality tools like Terraform, Sonar, or ZAP. (ref:hirist.tech)
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