Data Engineering Intern - HPE InfoSight
Hewlett Packard Enterprise (HPE) is seeking an outstanding Data Engineering Intern to work in the Andover, MA office. This intern will play a key role in developing an innovative new HPE storage artificial intelligence tool HPE InfoSight. HPE InfoSight allows HPE partners and customers to optimize, manage, and protect their storage infrastructure. At the same time, it helps HPE 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 products to provide business value through analytics. The team leverages a modern, reactive, 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 Data Engineer in a small, cross-functional development team, focused on providing data analytics as a service to internal and external HPE customers.
Contribute to the continuous improvement of our event-sourced, reactive data pipeline, powered by Scala, lagom/Akka, Spark, Kafka and Mesos.
Develop unit, integration, system or any tests that are needed to help the team deliver value quickly, with high quality, to our customers.
Develop automation for continuous delivery, testing, and monitoring of our application and infrastructure, using Python, Ansible, Logstash, Kibana, and others
Work with customers to develop complex business analytics, integrated into our application to provide visibility for up-sell opportunities, proactive customer service, and insights to improve the quality, reliability, and serviceability of HPE storage products.
Education and Experience -
3rd year of University studies completed, technical degree specialization.
Currently enrolled in a Bachelor's in Computer Science/Engineering program, or equivalent.
Knowledge and Skills -
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 -
Data Engineering development experience using Java, Scala or Python
Linux development or system administration experience, including Python or BASH scripting
Automation experience with Ansible, Chef, Puppet, or other
Data analytics experience with SQL, NoSQL, or Hadoop
A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
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HPE is an EOE / Female / Minority / Individual with Disabilities / Protected Veteran Status
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.
Hewlett Packard Enterprise