Position Details
About this role
This role involves constructing and managing data pipelines to support enterprise analytics, AI, and machine learning initiatives within the insurance industry, utilizing tools like AWS Glue and Databricks.
Key Responsibilities
- Build and operationalize data solutions
- Design complex data pipelines
- Perform data analysis and transformations
- Ensure data governance and security
- Collaborate across teams to support analytics
Technical Overview
The position requires expertise in building complex data solutions, managing data quality and security, and supporting large-scale data processing using cloud-based tools and frameworks.
Ideal Candidate
The ideal candidate is a mid-level data engineer with extensive experience in building and managing data pipelines, leveraging ETL tools like AWS Glue and Databricks, with a strong understanding of data governance, security, and analytics in an enterprise environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No experience with ETL tools, Lack of data pipeline management skills, No cloud data warehouse experience, No STEM degree or equivalent
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