Hadoop Infrastructure Consultant
4 days ago
Job Summary:
We are seeking a highly skilled Hadoop Infrastructure Consultant to join our team at ONE Elite Staffing. As a key member of our infrastructure team, you will be responsible for designing and building infrastructure solutions/blueprints for our clients.
Key Responsibilities:
- Collaborate with Solutions Engineering, Infrastructure Operations, and Infrastructure Service Management teams to design and build infrastructure solutions/blueprints.
- Participate in the design and build of repeatable patterns (build-kits) to improve deployment for non-prod and prod environments.
- Transition knowledge to Infrastructure Operations.
Requirements:
- 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.
- Hands-on experience in working with Hadoop distribution platforms like Hortonworks, Cloudera, and others.
- 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 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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