Position Details
About this role
This role involves designing, building, and deploying large-scale data engineering solutions in a hybrid work environment for a healthcare insurance company.
Key Responsibilities
- Design and develop data pipelines
- Implement end-to-end data solutions
- Optimize data storage and retrieval
- Automate workflows with CI/CD
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes Python, AWS cloud services, Databricks, Spark, ETL pipelines, and CI/CD automation tools.
Ideal Candidate
The ideal candidate is a mid-level software engineer with at least 1 year of cloud development experience, proficient in Python, AWS, and data engineering tools like Databricks and Spark. They should have strong collaboration skills and experience delivering end-to-end data solutions in a healthcare or insurance environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AWS and Databricks, No data engineering background, No experience with ETL or SQL, Unwillingness to work in a hybrid schedule
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