Data QA Engineer

[…] is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Design, build, and maintain automated testing frameworks tailored for enterprise cloud data platforms (GCP, Databricks). Formulate data validation strategies and automate the generation of tamper-evident test documentation required for regulatory compliance. Implement automated data quality checks, schema validations, reconciliation pipelines, and data integrity verification (ALCOA+ principles).

Partner with compliance and quality teams to maintain continuous audit readiness and produce formal Computerized System Validation (CSV/CSA) deliverables. Automate regression, integration, and end-to-end data pipeline tests across complex ETL/ELT workflows. Embed automated test suites and validation gates into CI/CD pipelines alongside data engineering and platform teams.

Skills: 6–9 years of professional experience in data quality assurance, test automation, or data platform engineering. Deep expertise in building test automation frameworks for distributed cloud and data platforms (using Python, pytest, Great Expectations, Soda, or custom test harnesses). Advanced proficiency in Python and SQL for complex data reconciliation, test scripting, and data transformations.

Proven background in designing automated data quality, reconciliation, and integrity checks across large-scale data sets. Solid understanding of vali