Overview
Skills
Job Details
Job Description: Palantir Data Engineer
We are seeking a highly skilled Palantir Data Engineer to design, develop, and maintain scalable data solutions using Palantir Foundry and associated technologies. The ideal candidate will have hands-on experience in data modeling, pipeline building, and analytics enablement across large-scale enterprise environments.
Key Responsibilities:
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Develop, deploy, and optimize data pipelines and workflows within Palantir Foundry using Pipeline Builder and AIP.
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Collaborate with cross-functional teams to design data solutions supporting analytical and operational needs.
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Utilize Python, PySpark, and TypeScript to process, transform, and analyze large datasets.
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Write efficient SQL queries for data extraction, transformation, and validation.
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Manage version control and deployment processes using Git.
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Work with Apache Spark and Hadoop ecosystems for distributed data processing and optimization.
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Ensure data quality, governance, and performance tuning across the entire data lifecycle.
Required Skills & Experience:
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Strong expertise in Palantir Foundry and big data frameworks (Spark, Hadoop).
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Proficiency in Python, PySpark, TypeScript, and SQL.
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Hands-on experience with data integration, transformation, and orchestration.
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Excellent analytical, debugging, and problem-solving abilities.