Position Details
About this role
Responsible for designing, building, and maintaining scalable data pipelines and platforms to support data-driven decision making for clients.
Key Responsibilities
- Build scalable data pipelines
- Implement data integration solutions
- Manage data platforms
- Collaborate with analysts and developers
- Ensure data security and compliance
Technical Overview
Focus on data engineering using SQL, Python, Spark, and cloud data tools like AWS Glue, Databricks, and Snowflake in an Agile environment.
Ideal Candidate
The ideal candidate is a mid to senior-level data engineer with 6+ years of experience in building scalable data pipelines using tools like Spark, Python, and SQL. They should have experience with cloud data platforms, data modeling, and working in Agile environments, with a security clearance.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Required
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Lack of experience with data engineering tools, No experience with ETL/ELT pipelines, No security clearance
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile