Position Details
About this role
Mid-level data engineer responsible for designing and maintaining data pipelines, supporting big data initiatives, and collaborating across teams to enable data-driven decision making.
Key Responsibilities
- Build data pipelines
- Develop ETL processes
- Collaborate with analytics teams
- Optimize data workflows
- Support data infrastructure
Technical Overview
Focus on data pipeline development using PySpark, Python, SQL, on AWS cloud platform, with experience in data modeling and big data processing.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 4+ years of experience in building data pipelines, ETL processes, and working with big data platforms like AWS and PySpark. They are collaborative, problem-solvers with strong communication skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 4 years of data engineering experience, Lack of experience with ETL or big data, No experience with cloud platforms, Inability to work in a team environment, No knowledge of data modeling
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile