Job Summary:

We are seeking a skilled Data Engineer with strong expertise in Palantir Foundry to design, develop, and maintain scalable data pipelines and data integration solutions. The ideal candidate should have hands-on experience in data modeling, pipeline development, ontology design, and working with large-scale structured and unstructured datasets.

Key Responsibilities:

Design, develop, and maintain data pipelines in Palantir Foundry

Build and manage Foundry Ontology, Code Repositories, and Data Lineage

Develop scalable ETL/ELT workflows using Python, SQL, and Spark

Implement data transformations using Foundry Code Workbook / Pipeline Builder

Integrate data from multiple sources (APIs, databases, cloud storage, etc.)

Optimize performance of data pipelines and datasets

Collaborate with business stakeholders to understand data requirements

Implement data governance, security, and access controls

Support analytics, reporting, and operational use cases

Perform troubleshooting and debugging of data workflows

Required Skills:

Strong hands-on experience with Palantir Foundry

Experience in data engineering concepts (ETL/ELT, Data Modeling, Data Warehousing)

Proficiency in Python, SQL, Spark

Experience with cloud platforms (AWS/Azure/GCP)

Knowledge of REST APIs and data integration techniques

Understanding of data governance and security best practices

Experience with version control (Git)

Preferred Skills:

Experience in Foundry Ontology & Workshop applications

Exposure to DevOps / CI-CD pipelines

Experience working in Agile environment

Domain experience in Finance / Healthcare / Supply Chain (preferred)

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