Palantir Data Engineer

Job highlights

• 6+ years experience with Palantir Platform, Foundry Ontology, Python, PySpark, and ETL pipeline development
• Develop and optimize end-to-end data solutions using Palantir Foundry, build modular ETL workflows, and handle large-scale data processing with Spark and Python

Role : Palantir Data Engineer

Experience 6+ yrs

Location - hyderabad

Technical Skills

1. Palantir Platform Expertise

• Working with Foundry Ontology, pipelines, and modular applications.
• Implementing End to End data Solutions in Palantir sourcing data from

2. Programming & Scripting (Python and PySpark)

• Data Processing & Automation: Ability to clean, transform, and process large datasets efficiently.
• Integration with Palantir Foundry: Build custom Python functions and libraries to extend Foundrys capabilities.
• Pipeline Development: Write modular, reusable code for ETL workflows and data transformations.
• Performance Optimization: Use Python libraries like Pandas, NumPy, and PySpark for scalable data operations.
• Familiarity with SQL for querying and data modeling. – Good to have

3. Data Engineering Fundamentals

• Building ETL pipelines for ingestion and transformation.
• Designing data models and optimizing workflows.
• Handling structured and unstructured data.

4. Big Data & Distributed Systems

• Experience with Spark (PySpark) for scalable data processing.
• Understanding of parallel computing and performance tuning.