Data Engineering Developer for HPE InfoSight

Job description

Data Engineering Developer for HPE InfoSight

  

Job Description:

   

Data Engineering Developer for HPE InfoSight

Hewlett Packard Enterprise (HPE) is seeking an outstanding software engineer to play a key role in developing the HPE InfoSight.  This industry-leading HPE analytics solution builds AI for the datacenters.  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 and enterprise products to provide business value through analytics. The team leverages a state-of-the-art big data (SMACK Stack) and micro service 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.

Responsibilities

·  Technical hands on contributor, as a full-stack 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 consumers
·  Contribute to the continuous improvement of our IoT analytics platform, powered by big-data technologies, including Spark, Mesosphere, Akka, Cassandra, Kafka, Lagom, ElasticSearch, and Vertica
·  Design and implement scalable modules. Develop unit, integration, system or any tests that are needed to help the team deliver value quickly, with a high degree of quality. Design and develop tools and utilities.
·  Contribute to the continuous improvement of our Data Streaming platform and pipeline
·  Work with the DevOps engineers to define state-of-the-art CI/CD strategies

Education and Experience

·  Bachelor/Master's degree in Computer Science/Engineering program, or equivalent
·  8-15 years of relevant experience and hands on development skills

Knowledge and Skills

·  Hands on progressive dev experience in Scala / Functional programming
·  Experience building a scalable data pipeline using Big Data technologies and engineering practices
·  Worked with the Front End, Data Scientists and DevOps teams and optimized data handling capabilities at scale
·  Exposure to full stack development and implementing REST API
·  Team player with a passion for self-learning, programming, automation, and data analytics
·  Excellent analytical and problem solving skills
·  Excellent communications skills

Experience with the following skills are desired/preferred:

·  Spark - advantage
·  Akka - advantage
·  Kafka - advantage
·  Mesos and DC/OS
·  Reactive framework / Lagom / Event sourcing
·  NoSQL databases such as Cassandra or ElasticSearch
·  MicroService architecture using Play
·  Analytics
·  Machine Learning

Hewlett Packard Enterprise Values:

Partnership first: We believe in the power of collaboration and building long term relationships with our customers, partners and each other

Bias for action: We never sit still, we take advantage of every opportunity

Innovators at heart: We are driven to innovate, creating both practical and breakthrough advancements

If you are looking for challenges in a pleasant, caring, and global hi tech work environment, feels excited to use latest technology stack, and innovate to a new high, then we definitely want to hear from you. Apply now directly via our career portal at www.hpe.com/careers

You can also find us on:

https:/www.facebook.com/HPECareers

https://twitter.com/HPE_Careers

Job:
Engineering

Job Level:
Specialist

    

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.