Data Engineering(Python/pyspark, code repo),Foundry Platform experience(Ontology, Workshop)
We are looking for a
Palantir Foundry Developer with strong experience in
Data Engineering, Python/PySpark, and the Palantir Foundry platform. The ideal candidate should have hands-on experience with
Foundry Code Repositories, Ontology, and Workshop and be capable of developing scalable data pipelines and business applications on Foundry.
Key Responsibilities
- Develop and maintain scalable data pipelines using Python and PySpark within Palantir Foundry.
- Work extensively with Foundry Code Repositories for code development, version control, testing, and deployment.
- Design and work with Palantir Ontology, including objects, properties, relationships, and business logic.
- Build interactive applications and dashboards using Foundry Workshop.
- Integrate data from multiple sources and transform it into reliable, business-ready datasets.
- Collaborate with business and technical stakeholders to translate requirements into Foundry-based solutions.
- Develop reusable data transformations and ensure data quality, performance, and reliability.
- Troubleshoot pipeline issues and optimize data processing jobs.
- Follow best practices for Git/version control, CI/CD, testing, and deployment within the Foundry environment.
- Support production deployments and ongoing enhancements of Foundry applications.
Must-Have Skills
- Hands-on experience with Palantir Foundry.
- Strong Python and PySpark development experience.
- Experience with Foundry Code Repositories.
- Strong understanding of Palantir Ontology.
- Hands-on experience with Foundry Workshop.
- Strong SQL and data engineering fundamentals.
- Experience building and deploying data pipelines.
- Good understanding of data modeling, data transformation, and data quality.
Good to Have
- Experience with Pipeline Builder and Foundry data integration.
- Experience with Ontology Manager and Ontology-driven applications.
- Knowledge of Foundry Functions / Actions.
- Experience with REST APIs and external system integrations.
- Experience with Git, CI/CD and Agile development.
- Experience working with large-scale enterprise data platforms.
