Hewlett Packard Enterprise
CloudDataEngineer
“Cloud Data Engineer at Hewlett Packard Enterprise. Skills: Data Pipelines, AI/ML Technologies, Cloud Computing. Application design and development. Build RAG pipelines and Agents/Tools”
What You'll Achieve.
Ensure reliability, performance, and security of applications; Bridge the gap between data engineering and advanced AI-driven applications; Enable intelligent automation and deep data insights; Contribute to product development; Increase the accuracy of AI outcomes; Increase accuracy of actionable insights
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, Developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience, Managing and analyzing large data sets, Containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant 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.
Application design and development
Build RAG pipelines and Agents/Tools
Evaluate and implement new technologies
Analyze and validate telemetry data
Work with data scientists
Build CI/CD pipelines
Work with SMEs and data scientists
How You'll Work.
Team & Collaboration
Collaborate with data scientists; Work with a team of data scientists, domain experts, architects and other engineers; Work with SMEs and data scientists
Applying for this Cloud Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Hewlett Packard Enterprise?
Real rants from real employees. Read before you apply.