K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.
This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.
Role:- Hadoop Support with Devops
Location:- Plano, TX / Charlotte, NC (onsite)
Fulltime
Job Description
Skill: Hadoop Support with DevOps
Must Have Technical/Functional Skills:
Primary Skill: Hadoop
Secondary: Linux, DevOps
Experience: Minimum10 years
Roles & Responsibilities:
Primary - Hadoop, Secondary- Linux with Devops
Key Responsibilities
• L1, L2 & L3 level support in Hadoop Platform
• Monitor and resolve HDFS and Ozone related issues.
• Investigate cluster performance, storage utilization, and capacity concerns.
• Manage quota requests, storage allocation, and capacity planning.
• Support platform maintenance and perform integration activities.
• Coordinate with application teams during incident and problem management.
• Create and maintain operational documentation, runbooks, and knowledge articles.
Required Qualifications
● Experience on L1, L2 & L3 level support in Hadoop Platform.
● Experience in Yarn, Spark and Impala job debugging and troubleshooting.
● Experience in addressing issues around NameNode, HDFS Space, File/Folder Permission & backups.
● Understanding and experience in query performance tuning and resource utilization tuning.
● Technical knowledge on relational databases, data warehousing and SQL skills.
● Hadoop, Kafka, Spark, Impala, Hive, HBase, Ozone etc.
● Strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator’s role.
● Intimate knowledge of fully integrated AD/Kerberos authentication.
● Experience setting up optimum cluster configurations.
● Debugging knowledge of YARN.
● Hands-on with analyzing various Hadoop log files, compression, encoding, & file formats.
● Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper and Postgres.
● Strong technical knowledge: Unix/Linux; Database (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure.
● Experience in Monitoring & Alerting, and Job Scheduling Systems.
● Being comfortable with frequent, incremental code testing and deployment.
● Strong grasp of automation / DevOps tools - Ansible, Jenkins, SVN, Bitbucket.
Tools Involved
● ETL tools: Hadoop Stack
● Job Scheduling tools: Autosys
● BI tools: Tableau; Tableau dashboard building connecting Hadoop-Hive Tables is equally preferred.
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