Palantir Data Engineer

Ex; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Ex is seeking a seasoned Data Engineer in Hyderabad to design scalable data solutions and robust pipelines that empower analytics and AI/ML use cases on Palantir Foundry. The role requires 5–10 years of data engineering experience and 2+ years with Palantir Foundry/AIP, including ontology work.

Ideal candidates have strong Python/PySpark and TypeScript/JavaScript skills, plus AWS data services, and familiarity with Docker/Kubernetes in a modern DevOps, agile environment.

Qualifications

• 5+ years of work experience with Data Engineering.
• 2+ years of work experience with Palantir Foundry.
• 3+ years of Python experience.

Responsibilities

• Design scalable data solutions and robust data pipelines.
• Model enterprise datasets and enable analytics and AI/ML use cases on Palantir Foundry.
• Work with Palantir Foundry data ingestion, pipeline builder, and transformations.
• Collaborate in agile teams and apply DevOps practices with CI/CD, Docker and Kubernetes.

Skills

Python

PySpark

TypeScript/JavaScript

AWS

CI/CD pipelines

Agile

DevOps

Tools

Palantir Foundry

Foundry Workshop

Slate

Docker

Kubernetes

Snowflake

Job description

We are seeking a seasoned Data Engineer with 5-10 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP & Palantir Ontology.

The ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus.

Key Requirements

• 5-10 years of overall experiencein data engineering, building and maintaining large-scale data pipelines and platforms.
• 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.
• Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript.
• Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.
• Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
• Deep understanding of microservices architecture and distributed systems.
• Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.
• Experience with big data technologies like Snowflake.
• Strong problem-solving and performance optimization skills.
• Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.
• Experience working in agile environments delivering complex data engineering solutions.
• Palantir Foundry certification or demonstrated project experience is highly preferred.
• Prior experience in the Insurancedomain is highly desirable.

Key Requirements

• 5+ years of work experience with Data Engineering
• 2+ years of work experience with Palantir
• 3+ years of work experience with Python (Programming Language)