22 Feb

Big Data Hadoop Administrator - Bangalore - Daimler

Position
Big Data Hadoop Administrator
Company
Daimler
Location
Bangalore KA
Opening
22 Feb, 2017 30+ days ago

Daimler as the company that open the jobs vacancy, have some qualification and spesification especially for the Big Data Hadoop Administrator jobs vacancy. To find out more information and about qualification and spesification details, walkin interview schedule, the address of the company, the company contact info (email/phone number) of Daimler company, please start to apply for the job vacancy with fill the jobs application with click the 'Apply This Job' button below.

Description

Hadoop Cluster administration and operations
Experience in administration of HDFS, YARN, MapReduce, Hive, HBase, Zookeeper, Sqoop, Pig, Kafka, Spark, Strom, Ranger, Knox, Hue, Ambari, Falcon, HA and Security
Basic Java and strong Linux administration skills

Necessary Knowledge:

  • Knowledge on Hortonworks Hadoop distribution (HDFS, YARN, MapReduce, Hive, HBase, Zookeeper, Sqoop, Pig, Kafka, Spark, Ranger, Knox, Hue, Ambari, Falcon, HA and Security)
  • Implementation and ongoing administration of Hadoop infrastructure.
  • Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments.
  • Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing Hadoop Services access for the new users.
  • Cluster maintenance as well as creation and removal of nodes using tools like Ambari
  • Performance tuning of Hadoop clusters and Hadoop Applications.
  • Screen Hadoop cluster job performances and capacity planning
  • Monitor Hadoop cluster connectivity and security
  • Manage and review Hadoop log files.
  • File system management and monitoring.
  • OS level support and maintenance.
  • Ability to communicate comfortably with all levels of management and actively participate on leadership teams
  • Improving and developing the knowledge & skills of others
  • Ability to work closely with and develop relationships with clients
  • Highly organized with a positive 'can do' attitude
  • Knowledge of progress monitoring and reporting
  • Able to handle communications
Must be professional and respectful in all communications internally and externally
Qualifications

Hadoop Cluster administration and operations
Experience in administration of HDFS, YARN, MapReduce, Hive, HBase, Zookeeper, Sqoop, Pig, Kafka, Spark, Strom, Ranger, Knox, Hue, Ambari, Falcon, HA and Security
Basic Java and strong Linux administration skills

Necessary Knowledge:
  • Knowledge on Hortonworks Hadoop distribution (HDFS, YARN, MapReduce, Hive, HBase, Zookeeper, Sqoop, Pig, Kafka, Spark, Ranger, Knox, Hue, Ambari, Falcon, HA and Security)
  • Implementation and ongoing administration of Hadoop infrastructure.
  • Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments.
  • Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing Hadoop Services access for the new users.
  • Cluster maintenance as well as creation and removal of nodes using tools like Ambari
  • Performance tuning of Hadoop clusters and Hadoop Applications.
  • Screen Hadoop cluster job performances and capacity planning
  • Monitor Hadoop cluster connectivity and security
  • Manage and review Hadoop log files.
  • File system management and monitoring.
  • OS level support and maintenance.
  • Ability to communicate comfortably with all levels of management and actively participate on leadership teams
  • Improving and developing the knowledge & skills of others
  • Ability to work closely with and develop relationships with clients
  • Highly organized with a positive 'can do' attitude
  • Knowledge of progress monitoring and reporting
  • Able to handle communications
Must be professional and respectful in all communications internally and externally


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