Python Data Engineer, Derivatives Trading Analytics

About

Step into the role of Python Data Engineer specializing in Derivatives Trading Analytics. Bring your strong background and skills in the Python data engineering stack to drive innovation.

In this senior position, you'll utilize your 6-10 years of experience to create robust data pipelines and improve system architecture for trading analytics. Your familiarity with tools like Polars, FastAPI, and Airflow will be instrumental in managing complex data flows. Understanding financial products like equities, options, and futures is crucial as you implement AI-native solutions and modern practices.

Key Responsibilities

• Develop data pipelines using Python technologies
• Work with databases like Trino and KDB for performance
• Manage container orchestration with Docker
• Set up and maintain catalog services
• Leverage AI for efficient data engineering solutions

Requirements

• Minimum 6 years of data engineering experience
• Profound knowledge of financial products
• Bachelor’s degree in a relevant field
• Interest in exploring new data engineering technologies
• Experience with agentic frameworks in software development

Your skills will drive efficiency and innovation in Derivatives Trading Analytics.