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HPE Global Operations, Analytics Data Engineer

5.00 to 8.00 Years   Bangalore   09 Oct, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Hardware / Networking
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

  • The candidate would join the HPE Global Operations Advanced Analytics team housed in Bangalore. The candidate will work closely with global HPE Global Operations organization to design, develop and manage Analytics solutions using various tools and technologies. Some work would also involve superior data handling skills to support various aspects of planning and executive decision making.
  • Understand business requirement to develop and implement solutions that address business needs and adhere to big data architectural guidelines
  • Develop data-driven solutions to complex business challenges while working with data scientists and business consultants
  • Troubleshoot, debug when data is found to be inaccurate.
  • Architect and create data views from big data store to feed into analytics solutions and visualization layers
  • Root cause analysis of data issues and coming up with stable long terms solutions.
  • Provide ad-hoc support for HPE Enterprise Group Operations reporting and analysis requests
Education & Experience
  • Bachelor s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent
  • 10-15 years overall experience in industry experience
  • 5-8 years working on data warehousing / distributed system (e.g. Hadoop)
  • Expert in building and optimizing big data data pipelines, architectures, and data sets
  • Excellent experience in data processing using Scala/Python/Java
  • Proficient in Big data tools and ecosystem (e.g. HIVE, Spark)
  • Experience working on analytics tools and solutions using Microsoft R
  • Strong in user requirements gathering, maintenance, and support
  • Experience working on scheduling tools like Oozie
  • Strong technical fundamentals to quickly learn next gen tools and start working on the same
Personal Attributes
  • Analytical, with ability to think strategically.
  • Detail oriented ability to validate, analyze and sort through data.
  • Good written and numerical skills
  • Strong interpersonal skills
  • Works well in cross functional environments with matrix/influence management
  • Customer orientation
  • Results oriented, high energy and drive with a winning attitude
,

Keyskills :
javaglobal operationsbusiness analyticsdata processingbig datainformaticacomputer sciencescheduling toolspythonuser requirementsequipment supplysqldata warehousing

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