Ness Digital Engineering Careers

Description

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.