AI Data Engineer
Hewlett Packard Enterprise
full-time
Posted on:
Location Type: Hybrid
Location: Aguadilla • 🇵🇷 Puerto Rico
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudDistributed SystemsGoJavaJavaScriptKubernetesPython
About the role
- Research, propose, design, implement, operate and maintain cloud platforms for big data exploration and visualization, in support of a team of data scientists
- Deploy data science solutions into cloud environments
- Work with data scientists to troubleshoot cloud workflows
- Closely collaborate with our datalake team on cloud technologies
- Identify and implementing cost-saving strategies to reduce ongoing cloud expenses
- Build CI/CD pipelines
- Deploy and maintain orchestration and monitoring systems for big data processing
- Help build images and containerize applications
Requirements
- Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline
- Typically, 4-7 years’ experience
- Strong programming skills in Python, Java, Golang, or JavaScript
- Good understanding of distributed systems, event-driven programming paradigms, and designing for scale and performance
- Experience with cloud-native applications, developer tools, managed services, and next-generation databases
- Knowledge of DevOps practices like CI/CD, infrastructure as code, containerization, and orchestration using Kubernetes
- Good written and verbal communication skills
Benefits
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonJavaGolangJavaScriptcloud platformsbig data explorationCI/CDcontainerizationorchestrationmonitoring systems
Soft skills
communicationcollaborationtroubleshootingproblem-solving
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in engineeringBachelor’s degree in information systems