We are working with a trading team in Chicago to search for Data Operations Engineers to handle a broad set of core data technologies, vital to the team's trading idea generation and profit making.
What you'll do
• Act as primary PoC for traders and their quant teams, providing platform operational support to data platforms.
• Resolve issues relating to data freshness, quality and availability
• Manage relationships with external vendors, ensuring reliability and accuracy of upstream data
• Design build and maintain ETL/ELT pipelines
• Build and maintain high performance APIs in relation to market data and reference data, vital to trading success
• Automate data quality validation, monitoring and detection frameworks
What you need
• 3+ years experience in Data Engineer, SRE, Data Ops or similar within a front office trader facing environment (IB is fine, but must be interfacing daily with traders)
• Strong Python skills
• Modern Lakehouse experience such as Delta Lake / Databricks / Snowflake
• Exposure to market data on tradfi asset classes
Data Operations Engineer in Chicago at Radley James
This position is listed as full time and onsite. It was posted 5 days ago.