Senior Data Engineer, Network Clustering

Shet

Hybrid
Databricks and apache spark
Python and sql proficiency
Schema evolution and data versioning
Shet is seeking a Senior Data Engineer with expertise in data processing, specifically for telemetry and performance analytics. The role involves building scalable data pipelines and collaborating with various teams to ensure data quality and reliability

Job Summary

  • Build and evolve the data backbone for an R&D telemetry and performance analytics ecosystem.
  • Develop flexible, reliable, and scalable data handling pipelines that can adapt to rapid change.
  • With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology world’s most desirable employers.

Matching Summary

Match Score: 85

Shet is seeking a Senior Data Engineer with expertise in data processing, specifically for telemetry and performance analytics. The role involves building scalable data pipelines and collaborating with various teams to ensure data quality and reliability.

Skills & Requirements

Must-have

  • Databricks and Apache Spark
  • Python and SQL proficiency
  • Schema evolution and data versioning
  • Cloud platforms (AWS preferred)
  • Streaming processes and applications
  • Time-series and telemetry data handling

Nice-to-have

  • Hardware/firmware telemetry exposure
  • Real-time analytics frameworks
  • System performance metrics understanding
  • Data cataloging/governance tools
  • CI/CD for data pipelines

Key Requirements

  • 5+ years of data engineering experience
  • B.Sc. or M.Sc. in Computer Science or related
  • Experience with Databricks and Apache Spark
  • Experience with cloud platforms (AWS preferred)
  • Experience with data orchestration tools

Work Rights

Not specified

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