Role & responsibilities
Role: CDP Hadoop Admin - Lead
Experience 7+ years
Location - BKC, Mumbai
Work mode - 5 Days Work from Office (FTE)
Shift: Rotational(24*7) & 2 Rotational Week offs
Job Summary:
We are seeking an experienced CDP HadoopAdministrator - Lead to manage and support our Hadoopecosystem. The ideal candidate will have strong expertise in Hadoopcluster administration, excellent troubleshooting skills, and a proven track record of maintaining and optimizing Hadoopenvironments.
KeyResponsibilities:
- Install, configure, and manage Hadoopclusters, including HDFS, YARN, Hive, HBase, and other ecosystem components.
- Monitor and manage Hadoopcluster 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 Hadoopclusters.
- Collaborate with development teams to understand requirements and provide appropriate Hadoopsolutions.
- Troubleshoot and resolve issues related to the Hadoopecosystem.
- Maintain documentation of Hadoopenvironment configurations, processes, and procedures.
Requirement:
- Experience in Installing, configuring and tuning Hadoopdistributions.
- Hands on experience in Cloudera.
- Understanding of Hadoopdesign 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 Hadooplog files
- Install and implement security for Hadoopclusters
- Install HadoopUpdates, 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.