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Data Engineering Developer

5.00 to 10.00 Years   Bangalore   11 Jun, 2019
Hewlett Packard Enterprise
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaEmbedded / System Software
EmploymentTypeFull-time

Job Description

Hewlett Packard Enterprise (HPE) is seeking an outstanding software engineer to play a key role in developing the HPE InfoSight. This industry-leading HPE analytics solution builds AI for the datacenters. HPE InfoSight collects and analyzes more sensor data points from our customers storage arrays than there are stars in our galaxy. Predictive Analytics are then used to correlate vast amounts of information to find the needle in the haystack, and solve our customers most complex infrastructure issues.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 state-of-the-art big data (SMACK Stack) and micro service 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 hands on contributor, as a full-stack software developer (were heavy users of Scala), in a small cross-functional development team, focused on providing data analytics as a service to internal and external consumers
  • Contribute to the continuous improvement of our IoT analytics platform, powered by big-data technologies, including Spark, Mesosphere, Akka, Cassandra, Kafka, Lagom, ElasticSearch, and Vertica
  • Design and implement scalable modules. Develop unit, integration, system or any tests that are needed to help the team deliver value quickly, with a high degree of quality. Design and develop tools and utilities.
  • Contribute to the continuous improvement of our Data Streaming platform and pipeline
  • Work with the DevOps engineers to define state-of-the-art CI/CD strategies
Education and Experience
  • Bachelor/Masters degree in Computer Science/Engineering program, or equivalent
  • 5-15 years of relevant experience and hands on development skills
Knowledge and Skills
  • Hands on progressive dev experience in Scala / Functional programming
  • Experience building a scalable data pipeline using Big Data technologies and engineering practices
  • Worked with the Front End, Data Scientists and DevOps teams and optimized data handling capabilities at scale
  • Exposure to full stack development and implementing REST API
  • Team player with a passion for self-learning, programming, automation, and data analytics
  • Excellent analytical and problem solving skills
  • Excellent communications skills
Experience with the following skills are desired/preferred:
  • Spark - advantage
  • Akka - advantage
  • Kafka- advantage
  • Mesos and DC/OS
  • Reactive framework / Lagom / Event sourcing
  • NoSQL databases such as Cassandra or ElasticSearch
  • MicroService architecture using Play
  • Analytics
  • Machine Learning

Keyskills :
scalaakkakafkaataanalytics

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