Palantir Foundry Data Engineer / Palantir Developer

The Role Palantir Foundry Data Engineer / Palantir Developer with strong expertise in data engineering, Python, and distributed data processing. Your responsibilities: • Build and maintain Palantir Foundry ontologies, pipelines, and applications. • Design and develop scalable ETL/data engineering solutions using Python and PySpark. • Integrate and transform data from multiple enterprise data sources. • Optimize Spark-based data processing and workflow performance. • Collaborate with business stakeholders to deliver analytics and AI-ready data products. Your Profile • 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. – Good to have • 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 of parallel computing and performance tuning.