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Jobs or company...
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Infrastructure Engineer Consultant Hadoop

Salary undisclosed

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Dice
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Job Description

Job Description

Job Title: Infrastructure Engineer Consultant Hadoop

Job Purpose:

  • This position is responsible for collaborating with Solutions Engineering, Infrastructure Operations, and Infrastructure Service Management teams
  • in the design and build of infrastructure solutions/blueprints for the area of responsibility.
  • Participating in the design and build of repeatable patterns (build-kits) to improve deployment for non-prod and prod environments.
  • Transitioning knowledge to Infrastructure Operations.

Required Job Qualifications:

  • Bachelor's Degree and 5 years in Information Technology or relevant experience or;
  • Technical Certification and/or College Courses and 7-year Information Technology experience or;
  • 9 years Information Technology experience.
  • Have hands-on experience in working with Hadoop distribution platforms like Hortonworks, Cloudera, and others.
  • Candidate should be ready for Hadoop on-call support if and when needed.
  • Expert in implementing and troubleshooting Hive, Pig, Storm, Kafka, Nifi, Elastic Search, Solr, HBase applications.
  • Working knowledge of Ruby or Python and known DevOps tools like Git and GitHub.
  • Experience in a scripting language to automate Infrastructure deployment tasks.
  • Ability to simplify & standardize complex concepts/processes.
  • Understanding of business priorities (e.g., vision), trends (e.g., industry knowledge) and markets (e.g., existing/planned).
  • Oral & written communications.
  • Ability to prioritize and make trade-off decisions.
  • Drive cross-functional execution.
  • Adaptability and ability to introduce/manage change.
  • Teamwork and collaboration.
  • Organized and detail oriented.

Preferred Job Qualifications:

  • Experience in Hadoop Application Infrastructure Engineering and Development Methodology background.
  • Experience with Ambari, Hortonworks, and HDInsight.
  • Experience with Cloudera Technology (Azure/AWS).
  • Experience with Streaming Technology (e.g. Kafka).
  • Experience with Kerberos, TLS encryption, SAML, LDAP.
  • Knowledge in the Cloud (Azure/AWS) big data solutions using EMR, HDInsight, Kinesis, Azure, Event Hubs, etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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