Technical Skills
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 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. – Valuable 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.
📌 Palantir Data Engineer Hyderabad
🏢 Tekskills
📍 Hyderabad
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.