Hewlett Packard Enterprise
CloudDataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Cloud Data Engineer at Hewlett Packard Enterprise. Skills: Cloud Data Engineering, Data Pipelines, AI/ML, Generative AI, Agentic AI, Python, Java, Spark, Kafka, Kubernetes, Airflow, Cloud Computing. Ensure the reliability, performance, and security of applications. Design, build, and maintain data pipelines, platforms, and services”
What You'll Achieve.
Increase the accuracy of AI outcomes in our device management product; Increase accuracy of actionable insights
Industry & Context.
Analyze and validate telemetry data; Learn error patterns; Produce views that show network problem conditions and patterns
What They're Looking For.
Must Have
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, 2+ years of programming experience in Python, 1+ years of programming experience in Java, 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
Nice to Have
Good understanding of WiFi Wireless Networking, Switching and Routing concepts, Experience in one or more deployment tools such as Airflow or ArgoCD
What You'll Do.
Ensure the reliability
and security of applications
and maintain data pipelines
Bridge the gap between data engineering and advanced AI-driven applications
Work with cutting-edge AI/ML technologies like LLMs
enabling intelligent automation and deep data insights
Contribute to product development in programming
data analysis and CI/CD infrastructure
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
Build CI/CD pipelines
How You'll Work.
Team & Collaboration
Collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services; 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; Work with SMEs and data scientists to increase accuracy of actionable insights
Full Job Description
Cloud Data Engineer This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 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 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:** 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 inc
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