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.

Key Requirements
- 5 -10 years of overall experiencein data engineering, building and maintaining large-scale data pipelines and platforms.
- 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 contemporary 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)

Responsibilities: Key Requirements
- 5 -10 years of overall experiencein data engineering, building and maintaining large-scale data pipelines and platforms.
- 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

📌 Palantir Data Engineer (Gurugram)
🏢 EXL Service
📍 Gurugram