Company:A Large Global Organization
Key Skills: Collibra, Data quality, Python, Data Governance, SQL
Roles and Responsibilities:
Translate business requirements into technical data quality rules and maintain associated Python codebases using Git.
Develop automated data quality monitoring routines, dashboards, and alerts for key data quality indicators.
Implement and operate Collibra Data Quality jobs, including dataset creation, rule execution, and troubleshooting.
Leverage Collibra DI views, glossary structures, and governance workflows to align with enterprise data standards.
Audit and profile large datasets to identify patterns, anomalies, and data quality risks; support root-cause analysis.
Skills Required:
5 - 8 years of experience in data management, data analysis, data profiling, and statistical techniques
Python (automation and data processing)
Data Quality (concepts and rule-based quality checks)
Collibra (Collibra Data Quality and DI views/glossary/governance workflows)
SQL (advanced queries across multiple databases)
Positive to Have:
Data Governance
AWS (cloud file processing and related authentication patterns)
Education: Any Graduation

📌 Software Engineering Lead Analyst_102258 (Hyderabad)
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