Back
Hybrid remote, generalist Python developer title, mid-level experience, and metro location increase applicant competition.
Core data engineering skills are transferable, though fintech domain knowledge moderately increases specialization requirements.
Explicit 5+ years requirement plus mandatory Python, pandas, Kafka, Docker, cloud and SQL skills increases filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, maintain, and enhance ETL processes to integrate custodian portfolio data into financial risk and portfolio management platforms using Python, Kafka, and Docker.
Collaborate with business and subject matter experts to understand financial instrument rules and translate them into functional code.
Propose and implement improvements in quality and deployment efficiency following Agile practices.
5+ years of practical Python development experience.
Proficiency with pandas library, REST API consumption (Requests or similar), Linux environment, Kafka or similar messaging systems, and Docker containers.
Bachelor's degree in Computer Science or a similar field.
Work Experience Required: 5+ years Python development experience; other domain specifics like Fund Management experience preferred but not mandatory.
Experienced in designing and implementing complex cloud-based systems with significant exposure to financial data integration, preferably in Fund Management or Capital Markets domains.
Familiar with Agile development methodologies and capable of cross-functional collaboration with QA and business stakeholders.
Skilled in working with distributed messaging systems, containerization, and ETL pipelines in a Linux environment.