Position Details
About this role
This role involves developing and maintaining ETL pipelines for a global quant trading firm, working with large datasets in a Linux environment to improve data reliability and efficiency.
Key Responsibilities
- Build ETL pipelines
- Manage large datasets
- Ensure data quality
- Collaborate with analysts
- Improve data reliability
Technical Overview
The candidate will utilize Python and Linux to build scalable data pipelines, manage large datasets, and support data infrastructure for quantitative trading operations.
Ideal Candidate
The ideal candidate is a data engineer with strong Python and Linux skills, experienced in building ETL pipelines and managing large datasets within a fast-paced trading environment, passionate about data quality and reliability.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with ETL pipelines or large datasets, No Linux environment experience, Entry-level candidates
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile