Software Engineering Lead Analyst

Job description

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