Ness Digital Engineering Technology/Software

Cloudera Hadoop Admin

Bengaluru, India Hybrid Full-time

Cloudera Hadoop Admin JD

  • 5+ years in Hadoop administration
  • Strong experience in administration of large & complex Cloudera Hadoop environments
  • Certification in Cloudera Hadoop administration
  • Strong performance optimization skills with large Hadoop clusters
  • Experience in On-call support (after hours), coordination with L1 teams / remote support teams
  • Experience in issue escalation and resolution working with vendor support (Cloudera)

Key activities include

  • Monitoring and Administration activities of the Cloudera platform
  • Install and deploy the Hadoop cluster, add and remove nodes
  • Configure name-node, take backups, patch installations etc.
  • Monitor tasks and all the critical parts of the cluster
  • Maintenance and Operational activities
  • Maintenance of file system/log files.
  • Manage OS Patching, cluster parcels updates.
  • Disaster recovery: Backup plan for accidental data deletion.
  • Continual improvement: Performance optimization, automation and improvements
  • Code deployments in Production environment

Mandatory Skills

  • 5+ years of Hadoop Administration experience in enterprise environments.
  • Strong hands-on experience with Hadoop, HDFS, YARN, Hive, Spark, Kafka, ZooKeeper, and Oozie.
  • Expertise in Linux/Unix administration, shell scripting, and system troubleshooting.
  • Experience with Hadoop cluster installation, configuration, monitoring, performance tuning, and capacity planning.
  • Knowledge of Hadoop security including Kerberos, Ranger, LDAP/Active Directory integration.
  • Experience with backup and recovery, high availability, and disaster recovery processes.
  • Familiarity with monitoring tools such as Ambari, Cloudera Manager, Grafana, Splunk, or equivalent.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and stakeholder management skills.

Preferred Skills

  • Experience with Cloudera CDP, Hortonworks, or MapR.
  • Exposure to cloud-based big data platforms such as Azure HDInsight, Azure Databricks, AWS EMR, or Google Dataproc.
  • Python automation and Infrastructure-as-Code experience.
  • Basic understanding of SQL and data warehousing concepts.

Job description provided by Ness Digital Engineering.
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