Hadoop/Linux Administrator

Description

Description You will participate in detailed technical design, development and implementation of applications using existing and emerging technology platforms. Working within an Agile environment, you will actively participate in story planning and detailed daily standups, while providing input for architectural design decisions, and developing code to meet story acceptance criteria. You will have the opportunity to continuously develop technical knowledge and skills on multiple platforms, and educate team members (including BSAs, Scrum Masters and Product Owners) on the capabilities and constraints of technologies. You will be an integral part in advancing the culture of technical excellence within client, and creating experiences to delight millions of customers! Assigned to one or more agile project teams. As a member of a project team, you will assume various roles including leadership positions as well as design, code and test roles. This includes development of applications using third party tools, development of web services, and web development using open source tools. The developer will participate in technical design, development and implementation of application systems. As part of this work, they will attend meetings to understand desired results, coding, unit and/or system testing, and will document changes. In addition, the developer may be assigned nonproject or crossproject roles. Possible roles include support of other IT groups, crossproject oversight and development tool support. Occasionally requires troubleshooting and correcting production issues in emergency type situations.Job Responsibilities Providing infrastructure technology guidance to enable business capabilities on Hadoop Clusters Planning and estimating cluster infrastructure, and creating roadmaps for Hadoop cluster deployment Provisioning, installing, configuring, monitoring, and maintaining HDFS, Yarn, HBase, Flume, Sqoop, Oozie, Pig, Hive and Impala Designing & deploying workload management architecture in Hadoop Clusters