Senior Data Engineer, Site Reliability Engineering

3 Months ago • 8 Years + • Data Analyst

Job Summary

Job Description

NVIDIA seeks a Senior Data Engineer, Site Reliability Engineering (SRE), to design, build, and maintain large-scale production systems for their cloud services. Responsibilities include designing high-performance services and libraries, building streaming data pipelines (ingestion to insights), developing data architecture, partnering with engineering and business teams, and automating processes for measuring, testing, updating, monitoring, and alerting. The ideal candidate possesses extensive data engineering experience, expertise with multi-petabyte data lakes, strong coding skills (Java/Scala/Python/Go), and experience with real-time streaming applications (Kafka).
Must have:
  • 8+ years software engineering experience
  • Big data and large scale distributed systems expertise
  • Multi-petabyte data lake experience
  • Java/Scala/Python/Go proficiency
  • Real-time streaming applications (Kafka) experience
Good to have:
  • Open-source contributions
  • Experience with large-scale distributed systems with strong SLAs

Job Details

We are looking for a Sr. Data Engineer, Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. We are looking for an excellent Sr. Data engineer with extensive data engineering experience for our data science and reporting needs surrounding NVIDIA's cloud services.

SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow.

What you’ll be doing:

  • Design and deliver essential, high-performance services and libraries.

  • Build streaming data pipelines for collecting & processing data from multiple data sources: from the point of ingestion to useful insights

  • Design and build data architecture

  • Partner with our other engineering and business teams to integrate your amazing innovations and algorithms into our production systems

  • Automate everything for measuring, testing, updating, monitoring and alerting

What we need to see:

  • Bachelors or Master’s degree in Computer Science or a related technical field (or equivalent experience)

  • 8+ years of software engineering experience

  • Passion about Big data and large scale distributed systems

  • Expert knowledge with building and operating multi-petabyte data lakes

  • Excellent SW development skills in one or more: Java/Scala/Python/Go

  • Experience with building real time streaming applications with kafka etc

  • Strong interpersonal skills including the ability to identify and communicate data driven insights

Ways to stand out from the crowd:

  • Contributions to open source

  • Experience with operating large scale distributed systems with strong SLAs

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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