AI Data Engineer job opportunity at Hewlett Packard Enterprise.

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DateMore Than 30 Days Ago bot
Hewlett Packard Enterprise AI Data Engineer
Experience: 7-years
Pattern: full-time
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loacation Aguadilla, Puerto Rico, Puerto Rico, Puerto Rico
loacation Aguadilla, Pue..........Puerto Rico

AI 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:     Job Family Definition: The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications. Management Level Definition: Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives. Responsibilities: 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 Education and Experience Required: Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline. Master’s desirable. Typically, 4-7 years’ experience. Knowledge and Skills: 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 and agile in a changing environment. Comfortable with AWS services   Familiarity with the landscape of big data exploration, visualization, and prototyping platform   Familiarity with statistical and machine learning techniques   Familiarity with wireless and wired networking protocols   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. #puertorico #aruba 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.     No Fees Notice & Recruitment Fraud Disclaimer   It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.   Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors  will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.   The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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