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Palantir Data Engineer at Somnetics (Som Imaging Informatics Pvt. Ltd.) – India | Jobyssey

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Palantir Data Engineer

Palantir Data Engineer

Somnetics (Som Imaging Informatics Pvt. Ltd.) · India · 1 month ago

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Category: Data engineering
Experience: 3+ years

analytics api cloud data-engineering data-pipelines data-quality elt etl pyspark python react sql typescript

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Palantir Foundry Data Engineer building scalable data pipelines, Ontology models, Workshop apps, and Quiver dashboards using Python, PySpark, and SQL.

Total Experience: 5+ years

Relevant Experience: 3+ years

Work Mode: WFH

About the Role

We are looking for a Palantir Foundry Data Engineer with 3+ years of hands-on experience to build scalable data solutions, pipelines, and applications on the Foundry platform. The role involves working across Ontology, data engineering, analytics, and application development to deliver business-focused solutions. Experience in the Healthcare domain is an added advantage.

Key Requirements

3+ years of Palantir Foundry experience.
Strong knowledge of Ontology, Pipeline Builder, Code Repositories, Workshop, Quiver, and Data Connections.
Proficiency in Python, PySpark, and SQL.
Experience in data pipelines, ETL/ELT, transformations, and data quality.
Experience integrating Foundry with cloud platforms, APIs, and databases.
Knowledge of React/TypeScript for Foundry applications is preferred.
Healthcare domain experience with Palantir is an added advantage.
Strong analytical and stakeholder communication skills.

Responsibilities

Develop and maintain Palantir Foundry data solutions and applications.
Build scalable pipelines using Pipeline Builder, Python/PySpark, and SQL.
Design and maintain Foundry Ontology models.
Develop Workshop applications, Quiver dashboards, and custom widgets.
Integrate Foundry with enterprise systems, APIs, databases, and cloud platforms.
Implement data quality, lineage, governance, and performance optimization.
Translate business requirements into scalable Foundry solutions.
Troubleshoot and optimize Foundry pipelines and applications.