EXL एक व्यावसायिक परामर्श और सेवाएँ प्रदान करने वाली कंपनी है, जो संगठनों को डेटा, विश्लेषण और प्रौद्योगिकी का उपयोग करके संचालन में सुधार करने और बेहतर निर्णय लेने में सहायता करती है। इसके कार्यों में संचालन प्रबंधन, निर्णय विश्लेषण और डिजिटल रूपांतरण शामिल हैं। कंपनी को स्वास्थ्य सेवा, बीमा, वित्त और लॉजिस्टिक्स के क्षेत्रों में ग्राहकों का सहयोग करने का अनुभव है। EXL डेटा विज्ञान को व्यावहारिक व्यावसायिक विशेषज्ञता के साथ जोड़कर ऐसे समाधान विकसित करती है, जो प्रत्येक संगठन के लक्ष्यों, संचालन मॉडल और उद्योग-परिस्थिति के अनुरूप होते हैं।
Palantir Foundry Data Engineer at EXL in Hyderabad Hybrid
Build Palantir Foundry pipelines, enterprise datasets, and AI/ML solutions at EXL. Support data analytics and digital transformation initiatives serving global industries.
विवरण
- Design scalable data architecture and solutions
- Develop reliable, production-grade data pipelines
- Create and maintain enterprise data models
- Support analytics and AI/ML use cases on Palantir Foundry
- Manage data ingestion, pipeline construction, and transformation workflows
- Develop interactive applications with Foundry Workshop, Slate, and custom TypeScript frontends
- Deliver complex data engineering solutions within agile teams
आवश्यकताएँ
- Bring 5–10 years of data engineering experience developing and maintaining large-scale data pipelines and platforms
- Have at least 2 years of hands-on Palantir Foundry experience, including data ingestion, Pipeline Builder, transformations, datasets, and applications
- Have experience creating interactive Foundry applications with Workshop, Slate, and custom TypeScript frontends
- Demonstrate proficiency in Python, PySpark, and TypeScript or JavaScript
- Bring strong AWS data processing and storage experience with S3, Glue, Athena, Lambda, and Redshift
- Understand microservices architecture and distributed systems deeply
- Be familiar with AI/ML frameworks including TensorFlow and PyTorch, including their integration with data pipelines
- Have experience with big data technologies such as Snowflake
- Apply strong problem-solving, troubleshooting, and performance optimization skills
- Have exposure to contemporary DevOps practices, including CI/CD, Docker, and Kubernetes
- Have delivered complex data engineering solutions in agile environments
- Prior insurance industry experience is highly desirable
- Have at least 5 years of professional data engineering experience
- Have at least 2 years of professional Palantir experience
- Have at least 3 years of professional Python programming experience