Job Description :
Job Title Hadoop Admin
Relevant Experience
(in Yrs) 6-8
Technical/Functional Skills • Install and configure Hortonworks clusterso
Apply proper architecture guidelines to ensure highly available services
Plan and execute major platform software and operating system upgrades and maintenance across physical environments
Develop and automate processes for maintenance of the environment
Implement security measures for all aspects of the cluster (SSL, disk encryption, role-based access via Apache Ranger policies)
Ensure proper resource utilization between the different development teams and processes
Design and implement a toolset that simplifies provisioning and support of a large cluster environment
Review performance stats and query execution/explain plans;
Recommend changes for tuning Apache Hive queries
Create and maintain detailed, up-to-date technical documentation
Responsible for 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.
Performance tuning of Hadoop clusters and Hadoop MapReduce routines.
Working knowledge of core Hadoop services including HDFS, Sentry, HBase, Impala, Hue, Spark, Hive, Kafka, YARN and ZooKeepero Monitor Hadoop cluster connectivity and securityo Manage and review Hadoop log files.
File system management and monitoring.
Collaborating with application teams to install the operating system and Hadoop updates, patches, version upgrades when required.
Point of Contact for Vendor escalationo Collaborating with application teams to install the operating system and Hadoop updates, patches, version upgrades when required.
Point of Contact for Vendor escalationo Must have strong knowledge of the Hortonworks Data Platform (HDP) distribution
Experience Required 6-8
Roles & Responsibilities • Install and configure Hortonworks clusterso
Apply proper architecture guidelines to ensure highly available services
Plan and execute major platform software and operating system upgrades and maintenance across physical environments
Develop and automate processes for maintenance of the environment
Implement security measures for all aspects of the cluster (SSL, disk encryption, role-based access via Apache Ranger policies)
Ensure proper resource utilization between the different development teams and processes
Design and implement a toolset that simplifies provisioning and support of a large cluster environment
Review performance stats and query execution/explain plans;
Recommend changes for tuning Apache Hive queries
Create and maintain detailed, up-to-date technical documentation
Responsible for 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.
Performance tuning of Hadoop clusters and Hadoop MapReduce routines.
Working knowledge of core Hadoop services including HDFS, Sentry, HBase, Impala, Hue, Spark, Hive, Kafka, YARN and ZooKeepero Monitor Hadoop cluster connectivity and securityo Manage and review Hadoop log files.
File system management and monitoring.
Collaborating with application teams to install the operating system and Hadoop updates, patches, version upgrades when required.
Point of Contact for Vendor escalationo Collaborating with application teams to install the operating system and Hadoop updates, patches, version upgrades when required.
Point of Contact for Vendor escalationo Must have strong knowledge of the Hortonworks Data Platform (HDP) distribution
Generic Managerial Skills
Education Bachelors Degree, Masters Degree in Applied Mathematics, Computer Science or otherwise research-based field; 3-5 years of related experience and/or training; or equivalent combination of education and experience.
Start date (dd-mmm-yy) 15-Aug-2018
Duration of assignment (in Months) Full Time
Work Location (State, City and Zip) Bradenton, FL
             

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