Project Description:
We are actively seeking a talented Palantir Data Platform Engineer with strong proficiency in Python programming, modern data engineering practices, and cloud-based platforms. The ideal candidate will have experience building scalable data pipelines, working with distributed data systems, and developing solutions using Palantir Foundry and Databricks. Experience with cloud platforms such as Azure or AWS, CI/CD processes, APIs, and data integration frameworks will be highly valued.
Responsibilities:
Participate in requirements clarification and sprint planning sessions.
Design, develop, and maintain scalable data pipelines and solutions within Palantir Foundry aligned with business and project goals.
Build and optimize data ingestion, transformation, and integration workflows using Python, SQL, and PySpark.
Develop unit and integration tests to ensure reliability and quality of data pipelines and platform components.
Support deployment, monitoring, and troubleshooting of data workflows across cloud and distributed environments.




Collaborate with QA engineers and stakeholders during testing and acceptance phases, resolving issues promptly.
Continuously improve best practices for data engineering, CI/CD, code quality, and platform performance.
Work closely with cross-functional teams including data scientists, analysts, architects, and developers to ensure efficient delivery.
Stay up to date with Palantir Foundry, cloud technologies, and modern data engineering best practices.
Contribute to technical documentation and actively participate in code reviews and knowledge sharing.
Mandatory Skills:
- Microsoft Azure Cloud Platform
- Palantir Foundry
- PySpark
- Rest API Testing
- SQL

Mandatory Skills Description:
- 5+ years of relevant experience in a Senior Data Engineer or Palantir Data Platform Engineer role.
- Hands-on experience with Palantir Foundry, including data pipelines, ontology, transformations, and workflow orchestration.
- Big Data Techn

📌 Palantir Foundry Engineer (Italia)
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