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 & contemporary 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

📌 Palantir Data Engineer (Hyderabad)
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