01Responsibilities
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.
Qualifications: 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) .
