Palantir Data Engineer

Role

Design, develop, and maintain scalable data solutions using Palantir Foundry and PySpark.

Responsibilities

• Develop and maintain data pipelines using Palantir Foundry and PySpark.
• Ingest, transform, process, and integrate data.
• Build scalable data workflows and optimize pipeline performance.
• Troubleshoot data issues and support production pipelines.
• Collaborate with Data Engineers, Analysts, and business teams.

Preferred Candidate Profile

• Strong experience in Data Engineering.
• Hands-on experience with Palantir Foundry.
• Strong PySpark / Spark programming skills.
• Good knowledge of Python and SQL.
• Experience with ETL/ELT, data pipelines, and data transformation.
• Strong problem-solving and troubleshooting skills.

Perks & Benefits

• Competitive compensation
• Opportunity to work on Palantir Foundry & modern data technologies
• Exposure to large-scale data engineering projects
• Learning and upskilling opportunities
• Career growth opportunities
• Collaborative work environment
• Employee benefits as per company policy