Palantir Data Engineer

Technical Skills

10+ Years of Experience in Data Engineering

Palantir Platform Expertise

Working with Foundry Ontology, pipelines, and modular applications.

Implementing End to End data Solutions in Palantir sourcing data from

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 Foundry’s 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.

Data Engineering Fundamentals

Building ETL pipelines for ingestion and transformation.

Designing data models and optimizing workflows.

Handling structured and unstructured data.

Big Data & Distributed Systems

Experience with Spark (PySpark) for scalable data processing.

Understanding parallel computing and performance tuning.