- 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, Great 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.
- Strong 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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