AI Data Engineer (Finance)
AI Data Engineer
This role has been designed as ''Onsite' with an expectation that you will primarily work 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:
Responsibilities :
- Application design and development in streaming or batch mode over Kafka and Spark
- 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
- Master's Degree in Computer Science, Information Systems, or equivalent
- At least 4 years of work experience in relevant technologies
- Bachelor's degree may be considered if candidate demonstrates exceptional abilities
Knowledge and Skills
- 2+ years programming in experience Python
- 1+ years 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 containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience
- Experience developing applications in Cloud computing environments such as AWS with at least 2 years of relevant experience
Additional Desirable Skills
- Experience with developing Generative-AI and Agentic AI based applications
- Experience with managing and analyzing large data sets
- Good understanding of WiFi Wireless Networking, Switching and Routing concepts
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.
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.
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Job:
Engineering
Job Level:
TCP_03
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global 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 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.
