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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and execute data quality test cases across source and analytical datasets, ensuring dataset integrity and quality metrics reporting.
Validate data pipelines end to end, checking data movement, transformation, completeness, history, freshness, and compliance, and assist with data correction.
Integrate quality checks into CI systems using Git and collaborate across engineering and business teams to resolve data quality issues and provide evidence and risk assessments for releases.
Minimum Requirements
Hands-on experience validating large datasets and data pipelines, diagnosing and remediating quality issues.
Strong proficiency in SQL, Snowflake, PostgreSQL, and ETL tools or equivalent data platforms.
Experience with risk-based testing methods and reporting meaningful quality metrics.
Position requires Hyderabad-based candidates available to work from the office. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced with data modeling and assessing downstream impacts of schema and data contract changes.
Skilled in using AI-assisted development tools for analyzing requirements and authoring SQL and quality checks under human review.
Comfortable working cross-functionally in English with engineering and business groups to provide quality evidence, risk assessments, and readiness input for releases.