Position Details
About this role
This role involves developing and supporting data pipelines for insurance pricing models using AWS cloud services, Python, and SQL, with a focus on data quality and scalability.
Key Responsibilities
- Develop data pipelines
- Support data quality controls
- Transform and cleanse data
- Implement production-ready data solutions
- Collaborate with data science teams
Technical Overview
The technical environment includes AWS Glue, AWS Step Functions, PySpark, and MLOps practices for cloud-native data platform development.
Ideal Candidate
The ideal candidate is an entry-level data engineer with experience in AWS cloud services, Python, and SQL. They should be eager to develop data pipelines, support data quality, and contribute to cloud-native data platform modernization.
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, Python, or SQL, No familiarity with data pipeline development, Unwillingness to work in a hybrid environment
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