AI Data Engineer

AI Data Engineer

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:

Job Family Definition:

The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.

Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.

Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.

The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.

Management Level Definition:

Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary.

Might act as project lead and provide assistance to lower level professionals.

Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives.

Responsibilities:


* Research, propose, design, implement, operate and maintain cloud platforms for big data exploration and visualization, in support of a team of data scientists


* Deploy data science solutions into cloud environments


* Work with data scientists to troubleshoot cloud workflows


* Closely collaborate with our datalake team on cloud technologies


* Identify and implementing cost-saving strategies to reduce ongoing cloud expenses


* Build CI/CD pipelines


* Deploy and maintain orchestration and monitoring systems for big data processing


* Help build images and containerize applications

Education and Experience Required:


* Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline.

Master's desirable.


* Typically, 4-7 years' experience.

Knowledge and Skills:


* Strong programming skills in Python, Java, Golan...