System Engineer – Big Data (Hadoop) / Machine Lear

By | February 16, 2021

System Engineer – Big Data (Hadoop) / Machine Lear

System Engineer – Big Data (Hadoop) / Machine Lear

Introduction

Our client is an international highly successful software development house with a niche focus on the telecommunications and payment gateway sector.
With almost 20 years of track record, this company is well recognised as a discerning employer. Their training and mentorship program is unsurpassed. Most staff will be highly qualified academically however all will be collaborative, have an Agile mindset and all enjoying learning new things.
Continuous improvement is a way of life which is reflected in a flat organisational organogram where each employee is encouraged to come up with new solutions.
Each person is encouraged to work on their strengths and for those that are ambitious, this is the best organisation to fast track your way up the career ladder. Equally, those that enjoy routine are encouraged and supported to be subject matter experts within their chosen skillset.

Description

Responsibilities:

    • Will work as an Engineer for the Big Data Platform Engineering Team.
    • Will be responsible to build, tune and perform operational efficiency on the production clusters.
    • Will be responsible to automate and monitor the health of the Operational clusters.
    • Will be responsible to work closely with the development and application support teams to deliver/resolve issues as part of Big Data Infrastructure engineering and operations.
    • Will be responsible to install/support Big Data Components e. g. Hadoop
Profile

Strong Hadoop with the below qualification is required to apply for this position.
Qualifications:

  • Graduate in Engineering or related technical field.
  • Hadoop Admin Certification is good to have.
  • Red Hat Certification is good to have.
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Skills / Experience:

  • 8+ years of working experience in Linux or Unix system administration
  • 2+ years of experience in Configuring and setting up Big Data / Hadoop clusters in production environments is preferred.
  • 2+ years of work experience in maintaining, optimization and issue resolution of Hadoop / Big Data Platform clusters is preferred.
  • Hands-on Experience in SQL (Oracle) and Databases.
  • Experience to build server(s), clustering, Performance tunings and troubleshooting
  • Networking concept and experience (TCP/IP and related protocols) is plus.
  • Knowledge in Python / Perl / shell scripting
  • Experience with automated configuration management is preferred.
  • Knowledge of Linux container technology is a plus.
We offer

Competitive Salary

Job ID:
1002872P