EXL—Palantir Data Engineer

Job description

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) Requirements: 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) Responsibilities: 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.