Position Details
About this role
This Lead Python Developer role builds new Python code for analytics capabilities and reporting content for Aetna’s Reporting Solutions team. The work focuses on healthcare data, self-service analytics applications, and modernizing/automating analyses for internal and external stakeholders.
Key Responsibilities
- Leverage Python to develop reporting and analytics using healthcare data
- Create self-service business applications using Plotly Dash Enterprise
- Drive enterprise modernization using Python and cloud-native technologies
- Refactor legacy code to improve turnaround-times
- Monitor and maintain production processes and applications
Technical Overview
You will develop reporting and analytics using Python and SQL in a data warehouse environment, working with large datasets from multiple data sources. The role includes building self-service applications with Plotly Dash Enterprise, refactoring legacy code for faster turnaround, and supporting production processes.
Ideal Candidate
The ideal candidate is a lead-level data engineering professional with 3+ years building production Python analytics and reporting solutions, including SQL development in a data warehouse environment. They are comfortable developing self-service analytics applications using Plotly Dash Enterprise and driving modernization by refactoring legacy code and using cloud-native technologies.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have 3+ years of experience with a Python Data Engineering Stack in a professional environment, Must have 3+ years of SQL query development in a data warehouse environment
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