Data Engineer 

Job Description

Role & responsibilities :

– 5 – 7 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

Are you interested in this position?
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