Vacancy expired!
Job Description
- Title: Cloudera Hadoop Administrator
- Duration: Fulltime
- Location: The Woodlands, TX or New Orleans, LA
- Manage Cloudera and Spark cluster environments, including service allocation and configuration for the cluster, capacity planning, performance tuning, and ongoing monitoring
- Work with data engineering related groups in the support of deployment of Hadoop and Spark jobs
- Responsible for monitoring the Linux, Hadoop, and Spark communities and report on defects, feature changes, and or enhancements to the team
- Deploy and maintain Hadoop clusters, add and remove nodes using cluster monitoring tools, and keep track of all the running Hadoop jobs
- Implement, manage and administer overall Hadoop infrastructure
- Responsible for capacity planning and estimate the requirements for lowering or increasing the capacity of Hadoop cluster
- Size the Hadoop cluster based on the data to be stored in HDFS
- Performance tuning of Hadoop clusters and Hadoop MapReduce routines
- Monitor the cluster connectivity and performance
- Manage and review Hadoop log files
- Monitor and manage Backup and Disaster Recovery processes
- Requirements:
- 5-7 years of hands-on experience with supporting Linux/UNIX production environments
- 3-5 years of hands-on experience with administering Hadoop and/or Spark ecosystem technologies in production
- 3-5 years of hands-on experience with scripting with bash, Perl, ruby, or python
- 2-4 years of hands-on development/ administration experience on Kafka, HBase, Solr, and Hue
- Experience designing and implementing Hadoop clusters
- Advanced ability to analyze problems, correlate data from multiple sources and communicate pertinent information to the appropriate support teams
- Strong interpersonal, verbal and written skills
Qualifications
Linux, Unix, Administration, Cloudera, Hadoop, Spark, Scripting, Bash, Perl, Ruby, Python, Kafka, HBase, Solr, HueAdditional Information
All your information will be kept confidential according to EEO guidelines.
Vacancy expired!