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Tier-1 brand, mid-level generalist title, metro location, and broad required skillset increase applicant competition.
Role's core skills (Python, APIs, ETL, cloud) are transferable, but finance data domain adds moderate specificity.
Explicit 5-8 years plus mandatory Python/API/ETL/cloud skills and on-call responsibilities create strict filters.
Lead small-scale technical projects involving Python development and ETL processes for fund data solutions.
Develop, deploy, and maintain APIs (FastAPI/REST) and database-backed applications ensuring scalability, efficiency, and maintainability.
Collaborate cross-functionally in agile teams to support and enhance data collection and distribution services using cloud technologies and AI integration.
5-8 years of industry experience in Python application design, development, and deployment.
Experience in API development (FastAPI or REST) and ETL pipeline implementation.
Bachelor’s or Master’s degree in Computer Science or related field.
Experience with relational databases (MySQL, MSSQL or similar RDBMS) and cloud technologies such as Amazon AWS.
Experienced in AI/ML technologies and integrating AI capabilities into software applications, actively using AI tools in development workflows.
Demonstrates ability to lead projects technically while collaborating effectively with stakeholders and engineering teams in an agile environment.
Comfortable with flexible work hours/time zones and handling on-call responsibilities, indicating readiness for operational support roles.