Description

You will lead data quality engineering efforts by translating business needs into technical rules and managing the associated codebase.

Responsibilities

• Translate business requirements into technical data quality rules and maintain Python codebases using git.
• Develop automated data quality monitoring routines, dashboards, and alerts for key indicators.
• Implement and operate Collibra Data Quality (DQ) jobs, managing dataset creation, rule execution, and troubleshooting.
• Audit and profile large datasets to find anomalies, patterns, and data quality risks, supporting root-cause analysis.
• Integrate DQ processes across cloud (S3) and on-premise data sources (Oracle).

Required Skills

• 5-8 years experience in data management, analysis, profiling, and statistical techniques.
• Expert proficiency in Python for data processing, automation, and script optimization.
• Hands-on experience with Collibra Data Quality, including job execution, agent configuration, and issue resolution.
• Strong command of advanced SQL querying across multiple databases.
• Thorough understanding of Data Quality concepts and governance workflows.
• Proficiency with Collibra DI views and glossary structures.
• Familiarity with cloud file processing (S3) and service account authentication.

Preferred Skills

• Experience with AWS Cloud roles.

Key Skills

Education

Any Graduate