Job Description:

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 diverse 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 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:

Applies intermediate level of subject matter knowledge to solve a variety of common business issues. Works on problems of moderately complex scope. Acts as an informed team member providing analysis of information and limited project direction input. Exercises independent judgment within defined practices and procedures to determine appropriate action. Follows established guidelines and interprets policies. Evaluates unique circumstances and makes recommendations.

What you’ll do:

Must have experience in Data life cycle and Data management
Strong hands-on knowledge in working with Data Engineering OSS frameworks - Apache Spark, Airflow etc

Exposure to Spark and Airflow data layer connectivity on Kubernetes
Good experience with an Enterprise technology product for Cloud infrastructure and/or SaaS
Advanced knowledge of Cloud Services and solutions (AWS, Kubernetes, Operators), and Application Programming Interfaces (APIs)
Strong programming Python skills in Jupyter Notebook environment 
Proven track record of developing a feature from requirements to delivery
Good debugging and problem solving skills
Communication skills and ability to work independently

What you need to bring: 
3-5 years’ experience building system software