Hewlett Packard Enterprise Company Senior Back End Developer - Data Analytics in Andover, Massachusetts
Senior Back End Developer - Data AnalyticsAndover, Massachusetts
What you need to know about the job (#need-to-know)
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At Hewlett Packard Enterprise, we bring together the brightest minds to create breakthrough technology solutions that advance the way people live and work. What sets us apart? Our people and our relentless dedication to helping our customers make their mark on the world.
We are a team of doers, dreamers and visionaries; inspired by our purpose and driven by our strategy. We live by our three values: partner, innovate and act.
Our legacy inspires us as we forge ahead, always pushing to discover what’s next. Every day is a new opportunity to advance and grow ourselves, our company and the industry. Some people call it an obsession, we call it a way of life.
What you need to know about the job
Primary Location:Andover, Massachusetts
Shift:No shift premium (United States of America)
Hewlett Packard Enterprise (HPE) is seeking an outstanding Software Developer to play a key role in developing an industry-leading HPE storage analytics solution – HPE InfoSight. HPE InfoSight collects and analyzes more sensor data points from our customers’ storage arrays than there are stars in our galaxy. Predictive Analytics are then used 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 a small, agile, empowered team, focused on analyzing call-home data sent from HPE Storage products to provide business value through analytics. The team leverages a state-of-the-art big data (SMACK Stack) and microservice-based technology stack for our end-to-end data processing, analysis, API, and web application – to provide our users with the insights they need to be successful.
Technical contributor, as a software developer (we’re heavy users of Scala), in a small cross-functional development team, focused on providing data analytics as a service to internal and external users
Leverage big-data technologies for data analytics, including Spark, Kubernetes, Akka, Kafka, AWS, Elasticsearch, and Cassandra
Work with the Front End teams and Data Scientists to determine the most optimal ways to process and schematize the data
Contribute to the continuous improvement of our Streaming data pipelines and Data Platform
Work with the DevOps engineers to define state-of-the-art CI/CD strategies
Develop unit, integration, system or any tests that are needed to 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
10+ years of relevant experience
Knowledge and Skills
Strong software engineering/development skills
Data analytics experience at scale
Team player with a passion for learning, programming, automation, and data analytics
Excellent analytical and problem solving skills
Excellent communications skills
Some experience with any of the following is a plus:
AWS or other public cloud provider
NoSQL databases such as Cassandra or Elasticsearch
HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status