Cloud Data Engineer

Hewlett Packard Enterprise•San Jose, CA

2d•Onsite

About The Position

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.

Requirements

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
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

Nice To Haves

Good understanding of WiFi Wireless Networking, Switching and Routing concepts
Experience in one or more deployment tools such as Airflow or ArgoCD

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