The Role:
Primarily looking for 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.
Essential skills/knowledge/experience:
Palantir Platform Expertise
o Working with Foundry Ontology, pipelines, and modular applications.
o Implementing End to End data Solutions in Palantir sourcing data from
Programming & Scripting (Python and PySpark)
o Data Processing & Automation: Ability to clean, transform, and process large datasets efficiently.
o Integration with Palantir Foundry: Build custom Python functions and libraries to extend Foundry’s capabilities.
o Pipeline Development: Write modular, reusable code for ETL workflows and data transformations.
o Performance Optimization: Use Python libraries like Pandas, NumPy, and PySpark for scalable data operations.
o Familiarity with SQL for querying and data modeling. – Good to have
Data Engineering Fundamentals
o Building ETL pipelines for ingestion and transformation.
o Designing data models and optimizing workflows.
o Handling structured and unstructured data.
Big Data & Distributed Systems
o Experience with Spark (PySpark) for scalable data processing.
o Understanding of parallel computing and performance tuning.