EXL
EXL
EXL yra verslo konsultavimo ir paslaugų įmonė, padedanti organizacijoms pasitelkti duomenis, analitiką ir technologijas veiklai gerinti bei geresniems sprendimams priimti. Įmonės veikla apima operacijų valdymą, sprendimų analitiką ir skaitmeninę transformaciją, o jos patirtis apima darbą su sveikatos priežiūros, draudimo, finansų ir logistikos sektorių klientais. EXL derina duomenų mokslą su praktine verslo kompetencija, kad sukurtų sprendimus, pritaikytus kiekvienos organizacijos tikslams, veiklos modeliui ir sektoriaus aplinkai.

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.

Aprašymas

  • 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

Reikalavimai

  • 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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