- Translate business requirements into technical data quality rules and maintain associated Python codebases leveraging git.
- Develop automated data quality monitoring routines, dashboards, and alerts for key data quality indicators.
- Implement and operate Collibra Data Quality (DQ) jobs, including dataset creation, rule execution, and troubleshooting.
- Leverage Collibra DI views, glossary structures, and governance workflows to ensure alignment with enterprise data standards.
- Audit and profile large datasets to identify patterns, anomalies, and data quality risks; support root cause analysis.
- Partner with data governance, engineering, and business teams to monitor, manage, and mitigate data quality issues.
- Integrate DQ processes with cloud and on prem data sources (Oracle, S3, etc.).
📌 Data quality Analyst (Hyderabad)
🏢 Clifyx
📍 Hyderabad
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