Develop, integrate, and support Data Driven Products & Solutions for Front Office Analytics and Data Science, focusing on end-to-end ownership from Development till Deployment
Job Summary
Develop, integrate, and support Data Driven Products & Solutions for Front Office Analytics and Data Science, focusing on end-to-end ownership from Development till Deployment.
Build and own Commodity Trading related data products, applications & ETL pipelines, processing large-volume, high-frequency datasets.
Collaborate with external data vendors, internal Infrastructure & DevOps teams, Data Scientists, Traders, and Analysts, supporting releases and providing production support.
Matching Summary
Develop, integrate, and support Data Driven Products & Solutions for Front Office Analytics and Data Science, focusing on end-to-end ownership from Development till Deployment.
Skills & Requirements
Must-have
Python & SQL proficiency
AWS Cloud experience
ETL/ELT pipeline design
Large-volume datasets processing
CI/CD, Docker, Git workflows
Nice-to-have
Spatial / geospatial analysis
Time series datasets experience
Trading, Maritime-Shipping domain
Integrating third-party data providers
Key Requirements
3+ years in Data Engineering or related field
Bachelors/Masters in Technology or Quantitative Field