Software Engineering Lead Analyst - HIH - Evernorth

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Skills you'll use

What you'll do

• 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.).

Who can apply

• Required Experience & Education:
• 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.

About Cigna

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