Data Transformation Engineer

Job description

Job ID 1022878 Date posted 4/18/2018 Primary Location Bengaluru, Karnataka, India Job Category Engineering Schedule Full time Shift No shift premium (India)

At Hewlett Packard Enterprise (HPE), we live by three core values that drive our business: Partner. Innovate. Act. These values combine to help us create important work all over the world to advance how people live and work.

HPE makes Hybrid IT simple. HPE helps customers to design the right mix of Hybrid IT to serve their unique needs. We bring next generation infrastructure that uses intelligent software to simplify and accelerate the delivery of new apps, services and business insights.

In a typical day as an Data Transformation Engineer, you would

Providing with new ways to deliver and manage IT on-premises and in the cloud.

We are currently looking for a Data Engineer to join our growing Infosight Data Science and Services team within HPE to take on data-as-a-service challenges.

HPE InfoSight collects hundreds of terabytes of operational and diagnostic telemetry from our customers, which enables us to help them get the most out of their IT infrastructure. As part of the Infosight team, you will work on cutting-edge projects, with high visibility. 

If you have the relevant experience, have a passion for quality and good software engineering practices, and enjoy working in a fast-paced, highly rewarding environment, then HPE is the place for you. 

If you

·  Proven track record of solving data governance problems, strong analytical skills.
·  Experience with database architecture and design including scalability, performance and high availability 
·  Proficient in distributed computing frameworks such as Spark, micro-services, and Kafka.
·  Experience in data cleaning techniques, ETL, and data visualizations
·  Strong programming skills in SQL, Python.
·  Ability to work independently in a fast-paced, iterative development environment.
·  Experience with NoSQL and SQL databases such as Cassandra and Vertica preferred.

We offer .

Innovate, design, develop data extraction, transfer and load programs for large data warehouse to achieve near real-time speeds

·  Automate data collection, pre-processing, governance, and analysis.
·  Maintain and enhance existing ETL architecture that supports various applications
·  Work closely with data scientists, platform, and UI teams to implement machine learning models in Spark (e.g. via SparkR, Scala, or PySpark) build APIs, create micro-services, or Kafka topics.
·  Communicate findings clearly and succinctly to technical and non-technical audience.

Hewlett Packard Enterprise Values:

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

What do we offer?

Extensive social benefits, flexible working hours, a competitive salary and shared values, make Hewlett Packard Enterprise one of the world´s most attractive employers. At HPE our goal is to provide equal opportunities, work-life balance, and constantly evolving career opportunities.

If you are looking for challenges in a pleasant and international work environment, then we definitely want to hear from you. below, or directly via our Careers Portal at www.hpe.com/careers

You can also find us on:

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