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Big Data Engineer (Hadoop)

Location: Zürich, Switzerland
Sector: Big Data
Job Type: contract
Salary: Negotiable
Reference: BBBH112434

Big data engineer (Hadoop)

Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services ranges from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organizational growth by attracting, assessing and placing specialized professional talent.

On behalf of our client, a leading financial institution in Zürich, we are looking for a Big data Engineer with hadoop experience to work on a big data platform together with other engineers and system experts.

Main responsibilities:

  • Responsible for monitoring business applications and services in production, mainly based on strategic Big Data platform
  • Handling incident tickets as well as customer calls
  • Responsibility for Batch job monitoring and troubleshooting
  • Parsing and analyzing data feeds as well as error checking
  • Writing and running scripts on DB for ad-hoc reports
  • Application / component administration on Windows/ Unix servers
  • Software release and problem management
  • Coordination for Disaster Recovery Testing
  • Automation of support activity
  • Support DevOps principle throughout the team

The skills and experience needed for these positions are:

  • Must have minimal 5 years experience as a big data engineer
  • Must Have Hadoop experience
  • Some knowledge of Linux and shell scripting would be a plus
  • Understand software lifecycle management
  • Must Speak English

Interested in this opportunity? Kindly send us your CV today through the link in the advert. However should you have any questions please contact Yiyi Thornton on +41 44 229 99 28.

Even though this position may not be the perfect fit for you, please reach out to us, as we have hundreds of open positions at Experis IT across Switzerland.

Check out all of Experis' job openings at www.experis.ch or visit my personal page and connect to me on LinkedIn.

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