Palantir Data Engineer
EXL (company site, opens in a new tab)5–10 yrsHyderabadHybridDirect career pageEst. 14–28 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and build scalable data pipelines and enterprise data models using Palantir Foundry.
- Develop interactive data applications using Foundry Workshop, Slate, and custom frontends with TypeScript.
- Enable analytics and AI/ML use cases by integrating data engineering solutions with AI/ML frameworks on cloud platforms.
Minimum Requirements
- 5-10 years of overall experience in data engineering and building large-scale data platforms.
- 2+ years of hands-on experience with Palantir Foundry, including data ingestion and pipeline building.
- Proficiency in Python (3+ years), PySpark, TypeScript/JavaScript, and experience with AWS data services (S3, Glue, Athena, Lambda, Redshift).
- Work Experience Required: 5+ years in Data Engineering; 2+ years with Palantir; 3+ years with Python; Insurance domain experience is a plus but not mandatory.
Ideal Candidate Profile
- Experienced in microservices architecture and distributed systems supporting data platforms.
- Familiar with AI/ML toolkits integration (TensorFlow, PyTorch) and deployment via modern DevOps practices (CI/CD, Docker, Kubernetes).
- Prefer candidates with Palantir Foundry certification or demonstrated project experience and prior insurance domain exposure.