Software Engineering Lead Analyst - HIH - Evernorth

Translate business requirements into technical data quality rules and maintain associated Python codebases leveraging git.

Develop automated data quality monitoring routines, dashboards, and alerts for key data quality indicators.

Implement and operate Collibra Data Quality (DQ) jobs, including dataset creation, rule execution, and troubleshooting.

Leverage Collibra DI views, glossary structures, and governance workflows to ensure alignment with enterprise data standards.

Audit and profile large datasets to identify patterns, anomalies, and data quality risks; support root‑cause analysis.

Partner with data governance, engineering, and business teams to monitor, manage, and mitigate data quality issues.

Integrate DQ processes with cloud and on‑prem data sources (Oracle, S3, etc.).

5 - 8 years of experience in data management, data analysis, data profiling, and statistical techniques.

Must have a thorough understanding of concepts of Data Quality.

Expert Python skills, including automation, data processing, and script optimization.

Hands‑on experience with Collibra Data Quality, including dataset creation, DQ job execution, agent configuration, and issue resolution.

Strong understanding of Collibra DI views, glossary hierarchies, and governance workflows.

Must be proficient in writing Advanced SQL queries going against multiple databases.

Familiarity with cloud file processing (S3), service account authentication, and endpoint testing.

Data Quality, SQL, Collibra, Python

Cloud (AWS Preferred )