Data Engineer

• Develop and maintain Python and SQL scripts for data extraction, transformation, and loading (ETL/ELT).
• Utilize AWS data stack, including S3, Redshift, Glue, and Lambda, to build and maintain data pipelines.
• Design and implement data models for various internal and external datasets.
• Contribute to the automation of trading desk processes.
• Develop web applications to support trading operations and analytics.
• Acquire a deep understanding of technical projects on the trading desk to better serve commercial needs.
• Collaborate and communicate effectively with stakeholders across different business lines and technology.

Required Knowledge, Skills and Abilities:

• 4+ years of experience with Python and SQL. We are flexible with years of experience and focus is on candidate with right skill and knowledge.
• Proficiency with AWS data stack (S3, Redshift, Glue, Lambda). AWS certifications are a plus.
• Experience building and maintaining time-critical data integration pipelines (ETL/ELT).
• Strong data modelling skills.
• Experience with enterprise-scale data systems.
• Experience in a trading environment (physical or paper) is highly desirable.