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Principal Backend Design Engineer

  • Internship
  • Andover (Merrimack)

Job description

Principal Backend Design Engineer

  

Job Description:

   

Architect – Big Data:

Hewlett Packard Enterprise (HPE) is seeking an outstanding Architect to play a key role in developing an industry-leading HPE analytics solution for our Big-Data and Software defined storage portfolio. You will help architect how we collect sensor data points from our customers servers, storage, and networking systems and implement predictive analytics to correlate vast amounts of information to find the needle in the haystack, and solve our customers’ most complex infrastructure issues.

You will be joining an agile, empowered organization, focused on  providing business value through analytics. The team will leverage state-of-the-art big-data applications and microservice-based technologies (SMACK Stack, Play, etc.) for our end-to-end data processing, analysis, API, and web application – to provide our users with the insights they need to be successful.

Responsibilities:

·  Provide guidance required to evolve our data architecture and implementation, to solve scaling, HA and DR challenges
·  Provide vision and leadership to stay ahead of the data engineering technology curve – think 2-5 years out
·  Continue to evolve our DevOps CI/CD strategy
·  Assist the data engineering teams with design and implementation challenges
·  Assist our partner integration teams with architectural questions, resourcing recommendations, planning, complex challenges
·  Gather data engineering requirements from our partner integration teams and work with the development teams on incorporating those requirements into our implementations
·  Work with the development teams on patent ideas
·  Contribute to the continuous improvement of our Streaming data pipeline by taking on development projects
·  Drive a unit, integration, system test strategy that will help the team deliver value quickly, with a high degree of quality

Education and Experience:

·  Bachelor/Master's degree in Computer Science/Engineering program, or equivalent
·  15+ years of relevant experience

Knowledge and Skills:

·  Excellent analytical and problem solving skills
·  Excellent communications skills
·  Innovative thinker who can drive change across a development organization
·  Team player with a passion for learning, programming, automation, and data analytics
·  Experience developing and deploying data processing pipelines at scale
·  Deep understanding of reactive data processing concepts and technologies
·  Solid understanding of the Apache Big Data ecosystem
·  Experience with persisting and consuming petabyte scale data
·  Outstanding software engineering/development skills
·  Experience with Continuous Integration/Continuous Delivery using modern DevOps tools and workflows
·  Experience with agile development (Scrum, Kanban, etc.) and Test Automation (unit, integration, system)

Some experience with any of the following is a plus:

·  Performance modelling and analytics
·  AWS or other public cloud
·  Real time data processing
·  Microservices architecture
·  SaaS
·  Scala
·  NoSQL databases such as Cassandra or Elasticsearch

HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status

Job:
Engineering

Job Level:
Expert

    

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.

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