Job highlights

- The ideal candidate should have experience in building and managing data integration pipelines,developing data transformation workflows,designing Foundry Ontology models and building business applications using Palantir tools
- Experience in building and maintaining data pipelines
- Experience in data modeling,data integration and API integrations. . .

We are looking for an experienced Palantir Foundry Data Engineer / Developer with strong expertise in Python, SQL and PySpark, along with hands-on experience in the Palantir Foundry ecosystem. The ideal candidate should have experience in building and managing data integration pipelines, developing data transformation workflows, designing Foundry Ontology models and building business applications using Palantir tools. Knowledge of Palantir AIP and AI-driven solutions will be an added advantage.

Key Responsibilities

1. Data Engineering Pipeline Development

- Design, develop and maintain scalable ETL/ELT data pipelines using Python, SQL and PySpark.
- Build and manage data transformation workflows using Palantir Foundry Pipeline Builder and Code Repositories.
- Integrate data from enterprise systems such as SAP, SQL databases and cloud data warehouses, including Snowflake and BigQuery.
- Implement data ingestion, synchronization and Change Data Capture (CDC) mechanisms.
- Ensure data quality, accuracy and consistency across integrated systems.

2. Palantir Foundry Development

- Work extensively on Palantir Foundry tools, including Pipeline Builder, Code Repositories, Foundry Ontology, Workshop, Quiver and AIP.
- Develop and maintain data workflows and reusable transformation components.
- Design and manage Foundry Ontology to represent business entities, relationships and operational processes.




- Build business-driven data solutions and analytical workflows within the Foundry platform.

3. Application Workflow Development

- Develop user-facing operational applications, dashboards and analytics solutions using Foundry Workshop and Quiver.
- Build interactive applications and business workflows using Foundry tools.
- Collaborate with business and technical teams to translate requirements into scalable data solutions.

4. AI AIP Integration

- Support the implementation and deployment of Palantir AIP (Artificial Intelligence Platform) use cases.
- Work on AI-powered business applications, Retrieval-Augmented Generation (RAG) and intelligent decision-support agents.
- Integrate AI capabilities with enterprise data and operational workflows.

5. Data Governance Performance Management

- Monitor pipeline performance, reliability and data quality.
- Manage data access permissions and follow security and governance standards.
- Troubleshoot pipeline failures, data inconsistencies and performance bottlenecks.
- Ensure scalability, reliability and maintainability of data engineering solutions.

Mandatory Technical Skills

- Hands-on experience with Palantir Foundry.
- Strong proficiency in Python, SQL and PySpark / Apache Spark.
- Experience with Palantir Foundry tools:
- Pipeline Builder
- Code Repositories
- Foundry Ontology
- Workshop
- Quiver
- Palantir AIP

- Robust understanding of ETL/ELT processes and data engineering concepts.
- Experience in data modeling, data integration and API integrations.
- Knowledge of Change Data Capture (CDC).
- Experience in building and maintaining data pipelines.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Palantir Foundry Data Engineer (Bengaluru)
🏢 RARR Technologies
📍 Bengaluru