Principal Engineer, Storage Data Science and Analytics (Bengaluru)

Principal Engineer, Storage Data Science and Analytics (Bengaluru)

13 Aug
|
Hewlett Packard Enterprise
|
Bengaluru

13 Aug

Hewlett Packard Enterprise

Bengaluru

Principal Engineer, Storage Data Science and Analytics
This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform,



Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a easy, consumable solution that helps them drive their business results. Join us redefine what’s next for you.Technical Leadership & Strategy

What you’ll do:

As a Principal Engineer for Data Science & Analytics, you will serve as the premier technical authority bridging advanced machine learning, GenAI, and big data analytics with HPE's next-generation cloud and storage ecosystem (HPE GreenLake and hybrid cloud).

In this role, you will lead the architectural strategy to extract, analyze, and operationalize intelligence from vast telemetry data pipelines generated by enterprise file, block, and object storage systems. Your work will directly impact time-to-market, cost reduction, and predictive data management frameworks (including AIOps, predictive infrastructure failure, storage dedupl

📌 Principal Engineer, Storage Data Science and Analytics (Bengaluru)
🏢 Hewlett Packard Enterprise
📍 Bengaluru

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