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 current technologies as well as 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.
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 addition of new data delivery pipelines and ETL pipelines and enhance them with advanced technologies.
Migrate the existing ETL pipelines to use Big Data technologies.
Develop unit, integration, system or any tests that are needed to help the team deliver value quickly, with high quality, to our customers.
Assist the team with tuning of the resources/queries for various databases.
Education and Experience
Bachelor/Master’s in Computer Science/Engineering, or equivalent
Knowledge and Skills
Team player with a passion for learning, programming, automation, and data analytics.
Excellent programming skills and in-depth knowledge of Linux operating System
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 Perl or Python or Scala.
Data analytics experience
Linux System Administration experience, including Perl, Python or BASH scripting.
Automation experience with Ansible, Chef, Puppet, or other.
HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status