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The Backend/Data Analytics Engineer 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 Backend/Data Analytics Engineer 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. Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Job Responsibility:
Build from the ground up to meet the needs of mission-critical applications
Engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions
Collaborate with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements
Provide business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications
Contribute to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience
Act as team member by providing information, analysis and recommendations in support of team efforts
Exercise independent judgment within defined parameters
Requirements:
Bachelor’s or master’s degree in computer science, Engineering or a related field
0-2 years of experience in software development
0-2 years of experience with data analytics is a plus
Advanced English level
Previous work experience in building SaaS platforms, highly scalable and highly available production systems
Knowledge with Java, Scala, REST/JSON APIs
Experience with Git and CI tools
Experience writing and maintaining unit and functional tests
Strong teamwork and communication skills
Spark experience is a plus
Mongo DB, Bigtable, or Redis experience is a plus
Nice to have:
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)
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