Company Name:-
Hewlett Packard Enterprise

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Hewlett Packard Enterprise creates new possibilities for technology to have a meaningful impact on people, businesses, governments and society.

HPE brings together a portfolio that spans software, services and IT infrastructure to serve more than 1 billion customers in over 170 countries on six continents.

HPE invents, engineers, and delivers technology solutions that drive business value, create social value, and improve the lives of our clients.

Learning does not only happen through training.

Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture.

In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities.

You’ll be guided by feedback and support to accelerate your learning and maximize your knowledge.

We also have a “reverse mentoring” program which allows us to share our knowledge and strengths across our multi-generation workforce.

HPE InfoSight is an industry-leading predictive analytics platform that brings software-defined intelligence to the data center.

Every day, HPE InfoSight analyzes millions of sensors across the globally connected installed base and uses this data to predict and prevent problems from storage to applications.

Selected candidates will work with the data from customer systems and deriving insights applying AI/ML techniques to predict/prevent issues before they happen.

This work would involve designing/implementing the data pipeline from data collection to scrubbing and analysis.

An ideal candidate would be one with strong computer science fundamentals with the following skills:
Experience building data pipelines using Scala(Preferably), Python or Java
Goo experience in building Microservices & ETL (data collection & processing)
Exposure to all SMACK technologies would be valuable
Data analytics experience with SQL, Hadoop or ideally Spark
Experience in Machine Learning would be an added advantage
Familiarity with HCI domain is highly desirable
Experience: 9 -12 years
What we can offer you:
Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the world´s m

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