Palantir Data Engineer

Role: Palantir Data Engineer

Mandatory Skills

• Palantir Foundry / Palantir Core
• Python
• PySpark
• ETL Pipeline Development
• Data Engineering
• Spark (PySpark)

Key Responsibilities

• Design and implement end-to-end data solutions using Palantir Foundry.
• Develop and maintain Foundry Ontology, pipelines, and modular applications.
• Build scalable ETL pipelines for data ingestion, transformation, and processing.
• Develop reusable Python and PySpark code for data engineering workflows.
• Integrate data from multiple source systems into the Palantir platform.
• Optimize data processing performance using Python libraries and PySpark.
• Design efficient data models and workflows for structured and unstructured data.
• Work with distributed data processing frameworks and optimize Spark jobs.

Required Technical Skills

• Hands-on experience with Palantir Foundry (Ontology, Pipelines, Modular Applications)
• Strong programming skills in Python and PySpark
• Experience in building scalable ETL pipelines
• Strong understanding of Data Engineering concepts
• Experience with Apache Spark and distributed computing
• Performance tuning and optimization of Spark/PySpark jobs

Good-to-Have Skills

• SQL
• Data Modeling
• Pandas and NumPy
• Experience handling large-scale structured and unstructured datasets

Candidate Profile

• 8+ years of overall IT experience.
• Minimum 6+ years of relevant experience in Palantir Foundry.
• Strong problem-solving and analytical skills.
• Experience in enterprise-scale data engineering projects.
• Good communication and collaboration skills.