1 month ago
Hyderābād, IndiaSenior
Responsibilities
- Design scalable data solutions and build and maintain large-scale data pipelines and platforms.
- Perform data ingestion, pipeline building, transformations, and work with Palantir Foundry datasets and applications.
- Model enterprise datasets and enable analytics and AI/ML use cases on Palantir Foundry.
- Build interactive applications using Foundry Workshop, Slate, and custom TypeScript frontends.
- Develop solutions using Python, PySpark, TypeScript/JavaScript, AWS data services, and Snowflake.
- Apply distributed-systems, microservices, performance optimization, and container-orchestration practices.
- Deliver complex data engineering solutions in agile environments.
Requirements
- 5-10 years of overall data engineering experience building and maintaining large-scale data pipelines and platforms.
- At least 2 years of hands-on experience with Palantir Foundry, including data ingestion, Pipeline Builder, transformations, datasets, and applications.
- At least 3 years of work experience with Python.
- Experience with Foundry Workshop, Slate, and custom frontends using TypeScript.
- Proficiency with Python, PySpark, and TypeScript/JavaScript.
- Strong experience with AWS services for data processing and storage, including S3, Glue, Athena, Lambda, and Redshift.
- Deep understanding of microservices architecture and distributed systems.
- Familiarity with TensorFlow and PyTorch and their integration into data pipelines.
- Experience with big data technologies such as Snowflake.
- Exposure to CI/CD practices and container orchestration tools such as Docker and Kubernetes.
- Palantir Foundry certification or demonstrated project experience is highly preferred.
- Prior insurance-domain experience is highly desirable.
Tech Stack
Categories
Data Engineering
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).