Description

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, PySpark, Spark SQL, and SQL.
• Build and configure applications using Palantir Foundry, including Workshop, Slate, and Quiver.
• Develop and manage data integration workflows, ontology models, and pipeline configurations within Foundry.
• Collaborate with business stakeholders, data engineers, and data scientists to understand business requirements and translate them into technical solutions.
• Optimize data pipelines and applications for performance, scalability, and reliability.
• Perform debugging, testing, monitoring, and production support activities.
• Participate in Agile ceremonies, code reviews, and technical discussions.
• Create and maintain technical documentation for pipelines, workflows, and applications.
• Ensure adherence to coding standards, security guidelines, and best development practices.

Required Skills

• 4+ years of experience as a Palantir Developer or Data Engineer working on the Palantir platform.
• Hands-on experience with Palantir Foundry (Pipeline Builder, Code Repositories, Ontology, Data Lineage).
• Strong programming skills in Python, PySpark, Spark SQL, SQL, and TypeScript.
• Experience in developing ETL/ELT pipelines and data integration solutions.
• Good understanding of Data Modeling, Data Warehousing, and distributed data processing.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills

• Experience with Workshop, Slate, and Quiver application development.
• Familiarity with Agile/Scrum methodologies.
• Understanding of data governance and security concepts.
• Exposure to Git and CI/CD practices.
• Palantir Foundry certification is an added advantage

Key Skills

Education

Bachelor's degree