Position Details
About this role
Senior data engineer supporting scalable data stores and pipelines for real-world data in healthcare, with expertise in ETL processes, data modeling, and cloud ecosystems.
Key Responsibilities
- Develop data pipelines
- Maintain scalable data stores
- Implement ETL processes
- Collaborate with data teams
- Ensure data quality
Technical Overview
Focuses on building and maintaining scalable data pipelines, ETL processes, data models, schemas, and metadata management using Python, R, SQL, and AWS in a healthcare environment.
Ideal Candidate
The ideal candidate is a senior data engineer with over 5 years of experience in ETL pipelines, data modeling, and working with big data ecosystems in healthcare or medical research environments, proficient in Python, R, SQL, and AWS.
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 ETL pipelines, No experience with AWS or big data ecosystems, Inability to work in a hybrid environment
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