Job Description: Palantir Data EngineerWe are seeking a highly skilled
Palantir Data Engineer to design, develop, and maintain scalable data solutions using Palantir Foundry and associated technologies. The ideal candidate will have hands-on experience in
data modeling, pipeline building, and analytics enablement across large-scale enterprise environments.
Key Responsibilities: - Develop, deploy, and optimize data pipelines and workflows within Palantir Foundry using Pipeline Builder and AIP.
- Collaborate with cross-functional teams to design data solutions supporting analytical and operational needs.
- Utilize Python, PySpark, and TypeScript to process, transform, and analyze large datasets.
- Write efficient SQL queries for data extraction, transformation, and validation.
- Manage version control and deployment processes using Git.
- Work with Apache Spark and Hadoop ecosystems for distributed data processing and optimization.
- Ensure data quality, governance, and performance tuning across the entire data lifecycle.
Required Skills & Experience: - Strong expertise in Palantir Foundry and big data frameworks (Spark, Hadoop).
- Proficiency in Python, PySpark, TypeScript, and SQL.
- Hands-on experience with data integration, transformation, and orchestration.
- Excellent analytical, debugging, and problem-solving abilities.
