Infrastructure Engineer Consultant Hadoop

4 weeks ago


Richardson, United States ONE Elite Staffing Full time
Job DescriptionJob 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.


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