Role Overview
As a Data Engineer specializing in the Palantir ecosystem, you will be responsible for configuring secure, scalable data connections and managing multi-modal data streams. You will design automated pipelines, manage core Ontology objects within Palantir Foundry, and develop end-to-end solutions and custom workflows to translate business requirements into technical reality.
Responsibilities
- Configure and manage secure, scalable, and resilient data connections and ingress topologies.
- Design, implement, and maintain robust, automated data pipelines using Pipeline Builder and code repositories.
- Create, configure, and manage core Ontology objects inside Palantir Foundry.
- Develop end-to-end solutions, custom workflows, and user-facing applications using Palantir Workshop or Slate.
- Translate business requirements into technical solutions and provide ongoing training to end-users.
- Ensure all pipeline operations comply with data privacy, governance, and cybersecurity regulatory requirements.
Requirements
- B.E./ B. Tech./BE IT or any graduate degree.
- Proficiency in Python, PySpark, and TypeScript.
- Hands-on experience with Palantir Foundry tools including Contour, Code Workbook, and Quiver.
- Solid understanding of relational databases such as Oracle and SQL Server.
- Strong knowledge of ETL processes, data modeling, and API integration.
- Ability to work in a hybrid business/technical capacity with excellent communication skills.
- Willingness to work the 2nd shift (12:30 PM to 9:00 PM) to facilitate US office collaboration.
Skills
- Palantir Foundry
- Python
- PySpark
- SQL
- TypeScript
Benefits
- Four (4) Work From Home (WFH) days per month.