Gazelle Global
Palantir Foundry Data Engineer / Palantir Developer
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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.
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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
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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.
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