Position Details
About this role
Data Engineer to design, build, and maintain scalable AWS data platforms to support analytics, ML, and generative AI in healthcare; collaborate with data scientists and engineers.
Key Responsibilities
- Design and maintain scalable data platforms on AWS
- Build data pipelines for analytics and ML
- Collaborate with data scientists and engineers
- Ensure ACID transactions and schema evolution with lakehouse tech
- Prepare data for SageMaker/Bedrock projects
Technical Overview
Stack includes AWS services (EMR, S3, Glue, Athena), Apache Iceberg lakehouse, Airflow, SageMaker, Bedrock; focus on data quality, performance, and cost efficiency for ML workflows.
Ideal Candidate
The ideal candidate is a data engineer with strong AWS data platform experience, versed in lakehouse architectures and ML/LLM datasets, able to partner with data scientists and engineers in healthcare Analytics.
Must-Have Skills
None listed
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No AWS data engineering experience, Lack of experience with lakehouse or Apache Iceberg, Not able to work remotely from the US
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