Required Skills & Experience
3+ years writing and optimizing SQL against large datasets
1+ year working with automated data profiling output (from DQ Labs or a comparable platform) to drive rule design and threshold decisions.
Familiarity with Databricks (Spark SQL) sufficient to query it as a monitored data source when verifying rule results.
2+ years implementing data quality rules, checks, or validation logic. Direct experience with DQ Labs or a comparable data quality/observability platform (e.g., Collibra DQ, Informatica DQ, Outstanding Expectations, Monte Carlo) preferred.
Understanding of core data quality dimensions (completeness, accuracy, validity, consistency, timeliness, uniqueness) and how to translate them into testable rules.
Familiarity with version control (e.g., Git) and structured change management for promoting rules through environments.
Robust analytical and troubleshooting skills, with attention to detail in validating rule behavior before deployment.
Solid written English communication for documenting rules and explaining alert behavior to non-technical, US-based Business Data Stewards.
📌 Data Quality And Governance Pune
🏢 Tata Consultancy Services
📍 Pune
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