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Palantir Developer

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Onsite

Palantir Developer

Algoleap Technologies

Palantir Developer

Skills

SQL QueriesData EngineeringPythonGitPySpark

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

19 August 2026

What they need


SUMMARY

Data Engineering(Python/pyspark, code repo),Foundry Platform experience(Ontology, Workshop)

We are looking for a Palantir Foundry Developer with strong experience in Data Engineering, Python/PySpark, and the Palantir Foundry platform. The ideal candidate should have hands-on experience with Foundry Code Repositories, Ontology, and Workshop and be capable of developing scalable data pipelines and business applications on Foundry.

Key Responsibilities

  • Develop and maintain scalable data pipelines using Python and PySpark within Palantir Foundry.
  • Work extensively with Foundry Code Repositories for code development, version control, testing, and deployment.
  • Design and work with Palantir Ontology, including objects, properties, relationships, and business logic.
  • Build interactive applications and dashboards using Foundry Workshop .
  • Integrate data from multiple sources and transform it into reliable, business-ready datasets.
  • Collaborate with business and technical stakeholders to translate requirements into Foundry-based solutions.
  • Develop reusable data transformations and ensure data quality, performance, and reliability.
  • Troubleshoot pipeline issues and optimize data processing jobs.
  • Follow best practices for Git/version control, CI/CD, testing, and deployment within the Foundry environment.
  • Support production deployments and ongoing enhancements of Foundry applications.

Must-Have Skills

  • Hands - on experience with Palantir Foundry .
  • Strong Python and PySpark development experience.
  • Experience with Foundry Code Repositories .
  • Strong understanding of Palantir Ontology .
  • Hands-on experience with Foundry Workshop .
  • Strong SQL and data engineering fundamentals.
  • Experience building and deploying data pipelines.
  • Good understanding of data modeling, data transformation, and data quality.

Good to Have

  • Experience with Pipeline Builder and Foundry data integration.
  • Experience with Ontology Manager and Ontology-driven applications.
  • Knowledge of Foundry Functions / Actions .
  • Experience with REST APIs and external system integrations.
  • Experience with Git, CI/CD and Agile development.
  • Experience working with large-scale enterprise data platforms.

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