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Data Engineer @ Aryaka Networks

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 Data Engineer

Job Description

  • Ideal candidate should have prior experience in data mining at large scale.
  • The person must have strong programming skills and excellent knowledge on data structures, algorithms and design patterns.
  • The candidate should be up to date with the diverse technologies in the big data ecosystem and should be able to objectively assess the different approaches to solve the problem at hand.

Qualification : BE / B-Tech / ME / M-Tech Experience: 3-12 years

  • Core skill set (must): Java, MySQL, Map-Reduce/PIG/Hive/Spark, NoSQL database like HBase/Cassandra.

You will definitely possess these skills -

  • Core skill set (must): Java, MySQL and at least one of the following Map-Reduce/PIG/Hive/Spark, NoSQL database like HBase/Cassandra.

Good for you to have -

  • Scripting (Desirable): Perl, P ython, S hell or R uby.

Bird's eye view of your role -

  • This role comes with the responsibility to enhance and fine tune Aryakas data processing platform as it stands to face the challenges at the petabyte scale

  • The person has to architect, build and launch new data models, reliable data pipelines and tools to help easy consumption of data
  • The engineer needs to work with large and complex data sets, solve difficult and non-routine analysis problems and needs to apply advanced analytical methods as needed
  • This position requires passion and commitment to job and requires excellent communication skills to work with stake holders in US

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Aryaka Networks
Location(s): Bengaluru

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Keyskills:   WAN Talent acquisition Analytical MySQL Network security Manager Technology Data processing Data structures Perl Data mining

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Aryaka Networks

Aryaka is the industry leader in managed SD-WAN partnering with global enterprises to spearhead their WAN transformation initiatives. We are growing fast and expanding rapidly both in terms of customer growth as well as employee headcount.