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Senior Data Engineer

Primary Location San Jose, California, United States

Overview

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.

Status: Full-Time
Level: Mid
Travel: No
glassdoor Glassdoor Rating: 70%

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What you need to know about the job

Job ID 1025295 Date posted 9/4/2018 Primary Location San Jose, California, United States Job Category Engineering Schedule Full time Shift No shift premium (United States of America)

Scala Data Engineer – HPE InfoSight

HPE is seeking an outstanding software engineer to play a key role in helping the HPE InfoSight team build AI for the datacenter.  HPE InfoSight allow HPE partners and customers to optimize, manage, and protect their datacenter infrastructure, while helping customer support, engineering, and sales to deliver more value to our customers.

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 modern big-data 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.

Responsibilities

  • Technical contributor as a full-stack developer in a small, cross-functional development team, focused on providing data analytics as a service to internal and external HP customers.
  • Contribute to the continuous improvement of our IoT analytics platform, powered by Scala, Spark, Mesos, Akka, Cassandra, Kafka, Elasticsearch, and Vertica.
  • Develop unit, integration, system or any tests that are needed to help the team deliver value quickly, with high quality, to our customers.
  • Leverage big-data technologies for data analytics, including Hadoop/Spark, Vertica (SQL), and Elasticsearch.
  • Develop automation for continuous delivery, testing, and monitoring of our application and infrastructure, using Mesosphere DCOS, Jenkins, Ansible, Kibana, and others.

Education and Experience

Bachelor/Master's in Computer Science/Engineering, or equivalent, and a minimum of 5-7 years’ experience.

Knowledge and Skills

  • Team player with a passion for learning, programming, automation, and data analytics.
  • Excellent programming skills, with experience or an interest in learning functional programming.
  • Excellent analytical and problem solving skills.
  • Excellent communications skills.

We are looking for a candidate with some or all of the following:

  • Experience building a data pipeline using Scala, Java, or Python, preferably with Spark and Kafka
  • Data analytics experience with SQL, NoSQL, Hadoop, or ideally Spark.
  • Machine learning experience
  • Linux development or system administration experience, including Python or BASH scripting.
  • Automation experience with Ansible, Chef, Puppet, or other.

#LI-DM1

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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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. Our people's relentless commitment to partner, innovate, and act.

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  • Engineering, San Jose, California, United StatesRemove