Software Engineering Lead Analyst

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)

Good to Have:

• Data Governance
• AWS (cloud file processing and related authentication patterns)

Education: Any Graduation