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 (Hyderabad)
🏢 MyCareernet
📍 Hyderabad
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