Cloud Data Engineer

Cloud Data Engineer    This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

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 Family Definition: Description  As a data engineer, you’ll ensure the reliability, performance, and security of applications. You’ll collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services. You’ll bridge the gap between data engineering and advanced AI-driven applications. You’ll work with cutting-edge AI/ML technologies like LLMs, autonomous AI agents, enabling intelligent automation and deep data insights. You’ll contribute to product development in programming, data analysis and CI/CD infrastructure Responsibilities : Application design and development in streaming or batch mode over Kafka and Spark Building RAG pipelines and Agents/Tools   Evaluate and implement new technologies and tools to improve efficiency and reduce cost Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product Build CI/CD pipelines Work with SMEs and data scientists to increase accuracy of actionable insights Education and Experience Required Degree in Computer Science, Information Systems, or equivalent Master's with 2 years of data engineering experience At least 4 years of work experience in relevant technologies Knowledge and Skills 2+ years of programming experience in Python 1+ years of programming experience in Java Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience Experience with developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience Experience with managing and analyzing large data sets Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience Experience developing applications in Cloud computing environments with at least 2 years of relevant experience Additional Desirable Skills Good understanding of WiFi Wireless Networking, Switching and Routing concepts Experience in one or more deployment tools such as Airflow or ArgoCD 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. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.