Arka Infotech Inc
Overview
Job Title: Senior Software Engineer Experience: 8 – 11 years Location: SFO/Houston Responsibilities
Set up production Hadoop clusters with optimum configurations Drive automation of Hadoop deployments, cluster expansion and maintenance operations Manage Hadoop cluster, monitoring alerts and notification Deployment of upgrades, updates and patches Provide 24x7 tier-3 troubleshooting and break-fix support for production services Diagnosis of installation & configuration issues Diagnosis of cluster management issues Diagnosis of performance issues Job scheduling, monitoring, debugging and troubleshooting Monitoring and management of the cluster in all respects, notably availability, performance and security File system management and monitoring Data transfer between Hadoop and other data stores (incl. relational database) Ingesting additional data sources into Hadoop in either streaming or batch mode Commissioning and decommissioning worker nodes Configuring the cluster to be rack-aware Set up High Availability/Disaster Recovery environment Debug/Troubleshoot environment failures/downtime Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users Set up security configurations in Hadoop Performance tuning of Hadoop clusters and Hadoop Map Reduce routines Manage and review Hadoop log files Qualifications
Engineering Graduate, MCA, Masters/Post Graduates (preferably IT/ CS)
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Job Title: Senior Software Engineer Experience: 8 – 11 years Location: SFO/Houston Responsibilities
Set up production Hadoop clusters with optimum configurations Drive automation of Hadoop deployments, cluster expansion and maintenance operations Manage Hadoop cluster, monitoring alerts and notification Deployment of upgrades, updates and patches Provide 24x7 tier-3 troubleshooting and break-fix support for production services Diagnosis of installation & configuration issues Diagnosis of cluster management issues Diagnosis of performance issues Job scheduling, monitoring, debugging and troubleshooting Monitoring and management of the cluster in all respects, notably availability, performance and security File system management and monitoring Data transfer between Hadoop and other data stores (incl. relational database) Ingesting additional data sources into Hadoop in either streaming or batch mode Commissioning and decommissioning worker nodes Configuring the cluster to be rack-aware Set up High Availability/Disaster Recovery environment Debug/Troubleshoot environment failures/downtime Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users Set up security configurations in Hadoop Performance tuning of Hadoop clusters and Hadoop Map Reduce routines Manage and review Hadoop log files Qualifications
Engineering Graduate, MCA, Masters/Post Graduates (preferably IT/ CS)
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