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Tier-1 brand, metro role, and mid-level experience but niche DG tooling keep competition at medium.
Data governance skills are industry-transferable yet require specific tooling and domain expertise, yielding medium sensitivity.
Explicit 3–8 years requirement plus mandatory DG tools and integrations imply high shortlisting strictness.
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Develop and implement data governance solutions including data catalog, data quality rules, lineage, and workflows using leading DG/DQ platforms.
Integrate data governance tools with enterprise systems using APIs, connectors, and ETL tools to enforce data policies and ensure data accuracy.
Perform data profiling, data quality validations, and troubleshoot data governance workflows to maintain data integrity and process efficiency.
3 to 8 years of work experience in data governance or related data management roles.
Hands-on experience with at least one Data Governance/Data Quality tool such as Collibra, Informatica, Alation, Purview, or equivalent.
Bachelor's degree in Engineering, Technology, or MBA (BE/B.Tech/MCA/MBA/M.Tech equivalent).
Proficiency in data governance concepts including metadata management, data stewardship, and data quality validations.
Experienced in configuring complex enterprise data governance frameworks and integrating DG tools with multiple systems.
Technically skilled in using APIs, scripting (SQL, Python), and ETL tools like Azure Data Factory or Informatica to customize workflows and data pipelines.
Familiar with cloud data environments (AWS or Azure) and knowledgeable about the broader data management ecosystem including MDM and Data Governance frameworks.