Hadoop Administration
Sonsoft- Location
- Austin, TX, United States
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 9y ago
- At least 2 years of experience in Implementation and Administration of Hadoop infrastructure
- At least 2 years of experience in Project life cycle activities on development and maintenance projects.
- Operational expertise in troubleshooting , understanding of system’s capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks
- Hadoop, MapReduce, HBase, Hive, Pig, Mahout
- Hadoop Administration skills: Experience working in Cloudera Manager or Ambari, Ganglia, Nagios
- Experience in using Hadoop Schedulers - FIFO, Fair Scheduler, Capacity Scheduler
- Experience in Job Schedule Management - Oozie or Enterprise Schedulers like Control-M, Tivoli
- Good knowledge of Linux
- Exposure to setting up Ad/LDAP/Kerberos Authentication models
- Familiarity with open source configuration management and deployment tools such as Puppet or Chef and Linux scripting, Autosys
- Experience in Shell and Perl scripting and exposure to Python
- Knowledge of Troubleshooting Core Java Applications is a plus
- Exposure to Real-time Execution engines like Spark, Storm, Kafka
- Version control Management tools : Subversion or Clearcase or CVS, Github
- Experience in Service Management Ticketing tools - ServiceNow, Service Manager, Remedy
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 4 years of experience within the Information Technologies.
** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.
This is a Full-Time / Permanent job opportunity.
- Only US Citizen, Green Card Holder can apply.
** All your information will be kept confidential according to EEO guidelines.
Skills
- Hadoop
- HBase
- Hive
- Nagios
- Linux
- LDAP
- Kerberos
- Puppet
- Chef
- Shell
- Perl
- Python
- Java
- Spark
- Storm
- Kafka
- GitHub
- ServiceNow
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