CDP Hadoop Admin

Key Responsibilities:

• Install, configure, and manage Hadoop clusters, including HDFS, YARN, Hive, HBase, and other ecosystem components.
• Monitor and manage Hadoop cluster performance, capacity, and security.
• Perform routine maintenance tasks such as upgrades, patching, and backups.
• Implement and maintain data ingestion processes using tools like Sqoop, Flume, and Kafka.
• Ensure high availability and disaster recovery of Hadoop clusters.
• Collaborate with development teams to understand requirements and provide appropriate Hadoop solutions.
• Troubleshoot and resolve issues related to the Hadoop ecosystem.
• Maintain documentation of Hadoop environment configurations, processes, and procedures.

Requirement:

• Experience in Installing, configuring and tuning Hadoop distributions.
• Hands on experience in Cloudera.
• Understanding of Hadoop design principals and factors that affect distributed system performance, including hardware and network considerations.
• Provide Infrastructure Recommendations, Capacity Planning, work load management.
• Develop utilities to monitor cluster better Ganglia, Nagios etc.
• Manage large clusters with huge volumes of data
• Perform Cluster maintenance tasks
• Create and removal of nodes, cluster monitoring and troubleshooting
• Manage and review Hadoop log files
• Install and implement security for Hadoop clusters
• Install Hadoop Updates, patches and version upgrades. Automate the same through scripts
• Point of Contact for Vendor escalation. Work with Hortonworks in resolving issues
• Should have Conceptual/working knowledge of basic data management concepts like ETL, Ref/Master data, Data quality, RDBMS
• Working knowledge of any scripting language like Shell, Python, Perl
• Should have experience in Orchestration & Deployment tools.

Academic Qualification:

BE / B.Tech in Computer Science or equivalent along with hands-on experience in dealing with large data sets and distributed computing in data warehousing and business intelligence systems using Hadoop.