Principal Cloud Big Data Engineer

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week from an HPE office.

Job Description:

Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some of the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you.

What you’ll do:

Contributions have visible technical impact on a product or major subcomponent. Applies in-depth professional knowledge and innovative ideas to solve complex problems. Visible contributions improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs. Recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization.

We are looking for Data Engineer who has strong passion in building and maintaining Big Data pipelines and productize Machine Learning Models. This role provides opportunity to work on the latest technologies with the best talents in networking, big data, cloud infrastructure and data science. Understand the overall architecture of the data flow in the data pipeline

• Build and Maintain data pipelines for PoCs/Analytics/Data Science

• Prepare, maintain and optimize data using automation for easier consumption as per team's dynamic requirements

• Responsible for data reliability, efficiency, and quality

• Manage multiple cloud environments

• Research and Develop tools for cloud infrastructure

• Collaborate with other teams for data pipeline issues and resolution

• Flexible in timings to work with global teams

• Provide guidance and mentoring to less- experienced staff members

What you need to bring:

• Bachelor's or Master's degree in Computer Science (or equivalent)

• 8- 20 years of experience

• Understanding of big data pipelines and distributed computing

• Hands-on experience in building or maintaining data solutions using Kafka/Spark/Hadoop/ArangoDB or similar technologies in public and hybrid cloud environments.

• Exposure to Visualization tools

• Experience working in any of the cloud computing environments such as AWS, Azure and GCP.

• Experience in one or more of programming/scripting languages such as Scala/Java/Python.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

#india #aruba

Job:

Job Level:

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.