Palantir Data Engineer

ExlService Holdings, Inc.; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

EXL Talent Acquisition Team in Hyderabad seeks a seasoned Data Engineer with 5-10 years of experience in data engineering, cloud platforms and distributed systems, including 2+ years hands-on with Palantir Foundry/AIP & Palantir Ontology.

You will design scalable data solutions, build robust pipelines, model enterprise datasets and enable analytics and AI/ML use cases on Foundry. Insurance domain experience is a plus.

Qualifications

• 5-10 years of data engineering experience with large-scale pipelines.
• 2+ years hands-on with Palantir Foundry, data ingestion, pipeline builder, transformations.
• Experience building interactive applications using Foundry Workshop, Slate and custom frontends.
• Proficiency in Python, PySpark, TypeScript/JavaScript.
• Strong AWS data processing and storage experience (S3, Glue, Athena, Lambda, Redshift).
• Knowledge of microservices and distributed systems.
• Familiarity with AI/ML tools and frameworks (TensorFlow, PyTorch).
• Experience with Snowflake and DevOps practices (CI/CD, Docker, Kubernetes).
• Insurance domain experience is a plus.
• Palantir Foundry certification or demonstrated project experience preferred.

Responsibilities

• Design scalable data solutions and robust pipelines.
• Model enterprise datasets and enable analytics/AI/ML on Foundry.
• Collaborate across teams to deliver complex data engineering solutions.
• Support BI/Analytics use cases and maintain data quality.

Skills

Python

PySpark

TypeScript

JavaScript

TypeScript

Palantir Foundry

Palantir Ontology

Foundry Workshop

Slate

AWS

Snowflake

Docker

Kubernetes

CI/CD

TensorFlow

PyTorch

Tools

Palantir Foundry

Palantir Ontology

Foundry Workshop

Slate

TypeScript

Python

AWS

Snowflake

Docker

Kubernetes

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 experience in 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 Insurance domain 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)