Palantir Data Engineer

Job Descritpion of Palantir Data Engineer

6 to 8 Years Relevant Experience

Key Responsibilities

• Ingest, clean, transform, and enrich data for use in Palantir Foundry.
• Design and implement scalable data pipelines to manage data flow within Foundry.
• Develop and maintain data ontology for effective data modeling and interpretation.
• Integrate diverse data sources using Palantir’s data connectors.
• Collaborate with cross-functional teams to gather business requirements and deliver Foundry-based solutions.
• Troubleshoot and resolve data quality, access, and performance issues.
• Contribute to application development and analytics solutions using Foundry tools.
• Apply data analytics and ML techniques for insight generation.
• Promote best practices and foster knowledge sharing on big data technologies across the organization.

Must-Have Skills

• Proficiency in Python and PySpark (minimum 4 years).
• Strong experience with SQL, BI tools, and data analysis.
• Hands-on experience with Palantir tools:
  • Data Connection, Ontology, Code Workbook/Repository,
  • Contour, Quiver, Workshop, Slate.

Desirable Qualities

• Proficient in English (verbal and written communication).
• Strong problem-solving and creative thinking skills.
• Ability to produce clear and useful documentation for technical and business teams.
• Encourages cross-team knowledge sharing.
• Collaborative team player with the ability to tackle complex technical and business issues.

Required Skills for Palantir Data Engineer Job

Palantir

Pyspark, BI tools

SQL queries