EXL
EXL
EXL tashkilotlarga operatsiyalarini takomillashtirish va yanada to‘g‘ri qarorlar qabul qilishda yordam beradigan, ma’lumotlar, tahlil va texnologiyalardan foydalanishga ixtisoslashgan biznes konsalting va xizmatlar kompaniyasidir. Uning faoliyati operatsiyalarni boshqarish, qarorlar tahlili va raqamli transformatsiyani qamrab oladi. Kompaniya sog‘liqni saqlash, sug‘urta, moliya va logistika sohalaridagi mijozlarni qo‘llab-quvvatlash tajribasiga ega. EXL ma’lumotlar fanini amaliy biznes tajribasi bilan birlashtirib, har bir tashkilotning maqsadlari, operatsion modeli va soha sharoitlariga mos yechimlar ishlab chiqadi.

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.

Tavsif

  • 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

Talablar

  • 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

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