Senior Hadoop Cluster Architect

7 days ago


Fremont, California, United States Info Way Solutions Full time

We are seeking a highly skilled Senior Hadoop Cluster Architect to join our team at Info Way Solutions, LLC.

The ideal candidate will have at least 8 years of total experience with at least 5 years of work experience in developing, maintaining, optimizing, issue resolution of Hadoop clusters, supporting business users.

The Lead Hadoop Infrastructure Engineer will be responsible for implementation and ongoing administration of Hadoop infrastructure, including cluster maintenance, troubleshooting, monitoring, and proper backup & recovery strategies.

Hadoop Administrator and Developer will be responsible for planning, implementing, and maintaining Hadoop clusters, as well as developing and deploying data processing applications using Hadoop tools and technologies.

The selected candidate will have strong knowledge of Hadoop (Map Reduce, Hive, Pig, Spark, Kafka, HBase, HDFS, H-catalog, Zookeeper, and Oozie/Airflow), Hadoop security (Kerberos, Knox, TLS), and experience in Linux / Unix OS Services, Administration, Shell, awk scripting.

They will also have experience in tool integration, automation, configuration management in GIT, Jira platforms, and excellent oral and written communication and presentation skills.

The candidate should have a strong analytical and problem-solving ability, with excellent technical skills and a deep understanding of Hadoop and related technologies.

They will work collaboratively with application teams to install operating system and Hadoop updates, patches, version upgrades when required, and maintain central dashboards for all System, Data, Utilization, and availability metrics.

The ideal candidate will be able to scale clusters in production and have experience with 18/5 or 24/5 production environments, and will be responsible for meeting Service Level Agreement (SLA) targets.

They will ensure all changes to the Production systems are planned and approved in accordance with the Change Management process.

The selected candidate will have excellent analytical and problem-solving skills, with a strong ability to work independently and as part of a team.

They will be responsible for investigating and analyzing new technical possibilities, tools, and techniques that reduce complexity, create a more efficient and productive delivery process, or create better technical solutions that increase business value.

The ideal candidate will have a strong understanding of Hadoop and related technologies, with a demonstrated ability to design, implement, and maintain complex Hadoop systems.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.

The candidate should have a strong technical skill set, with a deep understanding of Hadoop and related technologies, and a demonstrated ability to work independently and as part of a team.

They will be responsible for collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required, and will maintain central dashboards for all System, Data, Utilization, and availability metrics.

The ideal candidate will have a strong analytical and problem-solving ability, with excellent technical skills and a deep understanding of Hadoop and related technologies.

They will work collaboratively with application teams to install operating system and Hadoop updates, patches, version upgrades when required, and maintain central dashboards for all System, Data, Utilization, and availability metrics.

The ideal candidate will be able to scale clusters in production and have experience with 18/5 or 24/5 production environments, and will be responsible for meeting Service Level Agreement (SLA) targets.

They will ensure all changes to the Production systems are planned and approved in accordance with the Change Management process.

The selected candidate will have a strong understanding of Hadoop and related technologies, with a demonstrated ability to design, implement, and maintain complex Hadoop systems.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.

The ideal candidate will have a strong technical skill set, with a deep understanding of Hadoop and related technologies, and a demonstrated ability to work independently and as part of a team.

They will be responsible for investigating and analyzing new technical possibilities, tools, and techniques that reduce complexity, create a more efficient and productive delivery process, or create better technical solutions that increase business value.

The selected candidate will have excellent analytical and problem-solving skills, with a strong ability to work independently and as part of a team.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.

The ideal candidate will have a strong understanding of Hadoop and related technologies, with a demonstrated ability to design, implement, and maintain complex Hadoop systems.

They will work collaboratively with application teams to install operating system and Hadoop updates, patches, version upgrades when required, and maintain central dashboards for all System, Data, Utilization, and availability metrics.

The selected candidate will have a strong technical skill set, with a deep understanding of Hadoop and related technologies, and a demonstrated ability to work independently and as part of a team.

They will be responsible for ensuring all changes to the Production systems are planned and approved in accordance with the Change Management process.

The ideal candidate will be able to scale clusters in production and have experience with 18/5 or 24/5 production environments, and will be responsible for meeting Service Level Agreement (SLA) targets.

They will have a strong analytical and problem-solving ability, with excellent technical skills and a deep understanding of Hadoop and related technologies.

The selected candidate will have a strong understanding of Hadoop and related technologies, with a demonstrated ability to design, implement, and maintain complex Hadoop systems.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.

The ideal candidate will have a strong technical skill set, with a deep understanding of Hadoop and related technologies, and a demonstrated ability to work independently and as part of a team.

They will be responsible for investigating and analyzing new technical possibilities, tools, and techniques that reduce complexity, create a more efficient and productive delivery process, or create better technical solutions that increase business value.

The selected candidate will have excellent analytical and problem-solving skills, with a strong ability to work independently and as part of a team.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.

The ideal candidate will have a strong understanding of Hadoop and related technologies, with a demonstrated ability to design, implement, and maintain complex Hadoop systems.

They will work collaboratively with application teams to install operating system and Hadoop updates, patches, version upgrades when required, and maintain central dashboards for all System, Data, Utilization, and availability metrics.

The selected candidate will have a strong technical skill set, with a deep understanding of Hadoop and related technologies, and a demonstrated ability to work independently and as part of a team.

They will be responsible for ensuring all changes to the Production systems are planned and approved in accordance with the Change Management process.

The ideal candidate will be able to scale clusters in production and have experience with 18/5 or 24/5 production environments, and will be responsible for meeting Service Level Agreement (SLA) targets.

They will have a strong analytical and problem-solving ability, with excellent technical skills and a deep understanding of Hadoop and related technologies.

The selected candidate will have a strong understanding of Hadoop and related technologies, with a demonstrated ability to design, implement, and maintain complex Hadoop systems.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.

The ideal candidate will have a strong technical skill set, with a deep understanding of Hadoop and related technologies, and a demonstrated ability to work independently and as part of a team.

They will be responsible for investigating and analyzing new technical possibilities, tools, and techniques that reduce complexity, create a more efficient and productive delivery process, or create better technical solutions that increase business value.

The selected candidate will have excellent analytical and problem-solving skills, with a strong ability to work independently and as part of a team.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.

The ideal candidate will have a strong understanding of Hadoop and related technologies, with a demonstrated ability to design, implement, and maintain complex Hadoop systems.

They will work collaboratively with application teams to install operating system and Hadoop updates, patches, version upgrades when required, and maintain central dashboards for all System, Data, Utilization, and availability metrics.

The selected candidate will have a strong technical skill set, with a deep understanding of Hadoop and related technologies, and a demonstrated ability to work independently and as part of a team.

They will be responsible for ensuring all changes to the Production systems are planned and approved in accordance with the Change Management process.

The ideal candidate will be able to scale clusters in production and have experience with 18/5 or 24/5 production environments, and will be responsible for meeting Service Level Agreement (SLA) targets.

They will have a strong analytical and problem-solving ability, with excellent technical skills and a deep understanding of Hadoop and related technologies.

The selected candidate will have a strong understanding of Hadoop and related technologies, with a demonstrated ability to design, implement, and maintain complex Hadoop systems.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.

The ideal candidate will have a strong technical skill set, with a deep understanding of Hadoop and related technologies, and a demonstrated ability to work independently and as part of a team.

They will be responsible for investigating and analyzing new technical possibilities, tools, and techniques that reduce complexity, create a more efficient and productive delivery process, or create better technical solutions that increase business value.

The selected candidate will have excellent analytical and problem-solving skills, with a strong ability to work independently and as part of a team.

They will be responsible for monitoring Hadoop cluster connectivity and security, file system (HDFS) management and monitoring, and will have a strong ability to analyze and troubleshoot complex Hadoop-related issues.



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