Hadoop Admin

Artech
Charlotte, NC, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Big Data Software Bug Management Cloud Computing Cloudera Impala Databases Software Debugging DevOps Disaster Recovery Perl (Programming Language) Apache Hadoop Hadoop Distributed File System
+27 more
Apache HBase Apache Hive Job Scheduling Python (Programming Language) Kerberos (Protocol) PostgreSQL OpenShift Oracle (Applications) Ansible Cloudera Shell Script Apache Solr SQL Databases Subversion Talend Apache Zookeeper Jupyter Notebook Apache Yarn Apache Spark Sybase Code Testing Sentry DataRobot Apache Kafka Bitbucket Docker Jenkins

Job description

  • Work on complex, major or highly visible tasks in support of multiple projects that require multiple areas of expertise
  • Integrate solutions with other applications and platforms outside the framework
  • Manage platform operations across all environments, including upgrades, bug fixes, deployments, metrics/monitoring for resolution and forecasting, disaster recovery, incident/problem/capacity management
  • Serve as a liaison between client partners and vendors in coordination with project managers to provide technical solutions that address user needs

Requirements

  • Experience in managing Hadoop and Data Science Platform operations with a focus on Cloudera Hadoop, Jupyter Notebook, Openshift, Docker-Container Cluster Management and Administration
  • Experience working on Big Data Technologies and strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator’s role
  • Debugging knowledge of YARN, expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper, and Postgres
  • Strong technical knowledge: Unix/Linux; Database (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure
  • Experience in Monitoring Alerting, and Job Scheduling Systems and strong grasp of automation / DevOps tools - Ansible, Jenkins, SVN, Bitbucket

Preferred Skills & Qualifications

  • Experience with vendor-based Hadoop and Data Science products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite
  • Being comfortable with frequent, incremental code testing and deployment
  • Cloudera Admin / Dev Certification
  • Intimate knowledge of fully integrated AD/Kerberos authentication
  • Experience setting up optimum cluster configurations
  • Certification in Cloud, Docker-Container, Openshift Technologies
  • Prior work experience at client or in client’s Industry
  • Applicants must be able to work directly for Artech on W2

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