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.
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 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.
We are looking for Data Engineer who has strong passion in building and maintaining Big Data pipelines. This role provides opportunity to work on the latest technologies with the best talents in networking, big data, cloud infrastructure and data science.
What you'll do:
Responsibilities
- 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 :
Education and Experience Required
- Bachelor's or Master's degree in Computer Science (or equivalent)
- 6-10 years of experience
Knowledge and Skills
- 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
- Basic statistical analysis analysis skills
- 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
- Exposure to Node.js, Kubernetes/Docker/Containers, Message queues, NoSQL Databases, Hadoop architecture, ElasticSearch, Cloud platforms (such as AWS Cloud, Azure, GCP, Data Center software) is a plus
- Experience in using CI/CD pipelines
- Good knowledge in Linux and shell scripting
- Good understanding of networking technologies and agile software development
- Ability to learn new technologies quickly
- Strong analytical thinking, logical reasoning and problem-solving skills
- Strong written and verbal communication skills
Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)
What We Can Offer You:
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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
#india#aruba
Job:
Engineering
Job Level:
TCP_04
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
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.
Top Skills
What We Do
In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology.
More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.
