Strong experience with pyspark for large-scale processing
This role involves designing and building sophisticated data solutions with Python, PySpark, and Palantir Foundry to drive strategic business decisions within the Finance Reporting & Analytics Engineering team
Job Summary
This role involves designing and building sophisticated data solutions with Python, PySpark, and Palantir Foundry to drive strategic business decisions within the Finance Reporting & Analytics Engineering team.
Candidates will be responsible for optimizing existing workflows for performance, reliability, and scalability while ensuring data quality through robust validation processes.
The position requires a self-driven individual who can take ownership of end-to-end technical deliverables with minimal supervision in a hybrid work model requiring three days in the office.
Matching Summary
This role involves designing and building sophisticated data solutions with Python, PySpark, and Palantir Foundry to drive strategic business decisions within the Finance Reporting & Analytics Engineering team.
Skills & Requirements
Must-have
5+ years experience in data engineering
Advanced proficiency in Python programming
Strong experience with PySpark for large-scale processing
Proven experience with Palantir Foundry platform
Experience with Git version control systems
Nice-to-have
Knowledge of Tableau or Power BI visualization tools
Familiarity with financial data reporting requirements
Experience with TypeScript programming language
Background in Scrum or Agile development methodologies
Understanding of CI/CD pipeline implementation
Key Requirements
Bachelor's or Master's degree in Computer Science or related field