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About the role
Key Skills: Collibra, SQL, Python, Data quality, Data Governance, AWS Roles and Responsibilities: Translate business requirements into technical data quality rules and maintain Python codebases in 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. Use 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 and mitigation. Skills Required: 5 - 8 years of experience in data management, data analysis, data profiling, and statistical techniques. Data governance and data quality rule definition aligned to enterprise standards. Python for automation, data processing, and script optimization. Advanced SQL queries across multiple databases for profiling and data quality investigations. Collibra data quality operations including dataset creation, rule execution, and issue resolution. Good to Have: AWS for cloud-based data quality monitoring and processing. Education: Any Graduation
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