Position Details
About this role
This role involves developing and maintaining scalable data stores and pipelines supporting big data and real-world data analysis, primarily in government or health-related projects.
Key Responsibilities
- Develop data pipelines
- Maintain scalable data stores
- Implement ETL processes
- Collaborate with cross-functional teams
- Ensure data security and compliance
Technical Overview
Requires experience with ETL, AWS, Python, R, SQL, real-time data processing, and data modeling; involves working with large data ecosystems and cloud platforms.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 3+ years experience in ETL, big data, and AWS cloud environments. They should have strong programming skills in Python, R, or SQL, and experience building real-time data pipelines for government or health sector projects.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Lack of experience with ETL or big data, No AWS or cloud experience, Inability to obtain security clearance, No programming skills in Python, R, or SQL
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