Description

Define and implement automated data quality rules, monitoring, and governance workflows using Collibra and Python.

This role is on-site.

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 indicators.
• Implement and operate Collibra Data Quality jobs, including dataset creation, rule execution, and troubleshooting.
• Audit and profile large datasets to identify patterns, anomalies, and data quality risks.

Required Skills

• 5+ years of experience in data management, data analysis, data profiling, and statistical techniques.
• Strong proficiency in Python for automation, data processing, and script optimization.
• Advanced SQL skills for querying multiple databases and conducting data quality investigations.
• Hands-on experience with Collibra Data Quality operations, including dataset creation and issue resolution.
• Understanding of data governance standards and enterprise data quality rule definition.
• Ability to use Collibra DI views, glossary structures, and governance workflows.

Preferred Skills

• Experience with AWS for cloud-based data quality monitoring and processing.

Key Skills

Education

Any Graduate