Description

You will design, develop, and maintain data pipelines using Palantir Foundry, including Pipeline Builder and Code Workbooks. You will build and manage Palantir Ontologies (Object Types, Link Types, Properties) to enable semantic data access. You will ingest, transform, validate, and enrich data from enterprise and external sources. You will implement scalable transformations using Python, PySpark, and SQL. You will ensure data quality, lineage, governance, reliability, and performance. You will collaborate with business stakeholders and data scientists to translate needs into technical solutions. You will support analytics, operational dashboards, and downstream AIML use cases. You will monitor, troubleshoot, and optimize existing Foundry assets. You will contribute to Agile delivery and documentation.

Responsibilities

• Design and maintain Foundry pipelines using Pipeline Builder and Code Workbooks.
• Build and manage Palantir Ontologies for semantic data access.
• Ingest and transform data from multiple enterprise and external sources.
• Implement scalable data transformations using Python, PySpark, and SQL.
• Ensure data quality, lineage, governance, and pipeline performance.

Required Skills

• 5+ years of experience in data engineering or data-intensive application development.
• Hands-on experience with Palantir Foundry, including ontology modeling and pipeline development.
• Palantir Foundry certification.
• Strong programming skills in Python.
• Solid experience in SQL and PySpark.
• Strong understanding of data modeling, ETL/ELT concepts, and data governance.

Preferred Skills

• Experience supporting analytics, operational dashboards, and downstream AIML use cases.
• Ability to collaborate effectively with business stakeholders and platform teams.

Key Skills

Education

Any Graduate