Position Details
About this role
This role involves designing and deploying complex data solutions to support enterprise analytics, AI, and ML initiatives within a hybrid work environment for a leading insurance company.
Key Responsibilities
- Build and operationalize data solutions
- Design complex data architectures
- Analyze data sources for value
- Ensure data governance and security
- Collaborate across teams
Technical Overview
The technical environment includes AWS cloud services, Python programming, data pipeline development, data governance, security, and AI/ML tools like SageMaker.
Ideal Candidate
The ideal candidate is a mid-level data engineer with at least 8 years of experience in data pipelines, cloud platforms, and data governance, with strong AWS and Python skills. They should have experience leading small teams and implementing AI/ML solutions.
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 AWS or Python experience, Less than 5 years of relevant experience, No experience with data governance or security, No bachelor's degree in STEM
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