Infrastructure Engineer Consultant Hadoop
4 weeks ago
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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