Position Details
About this role
Designs and builds data infrastructure for energy trading and analytics, focusing on energy market datasets and supporting AI/ML applications.
Key Responsibilities
- Design data onboarding processes
- Build and maintain data pipelines
- Collaborate with data scientists and traders
- Optimize data models for trading
- Develop technical documentation
Technical Overview
Involves building data pipelines, integrating datasets via APIs, SFTP, web scraping, and developing scalable data architectures using Snowflake and automation tools, with a focus on energy market data and AI/ML.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience designing and implementing data pipelines and architectures in energy markets, familiar with Snowflake, APIs, and automation tools, with a focus on energy market data and AI/ML integration.
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 energy market data, No experience with data pipelines or Snowflake, Inability to work independently
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