Cloudera Hadoop Admin

Jobvite, Inc.; Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Jobvite, Inc. in Bengaluru, India is seeking a Hadoop Administrator with 5+ years of enterprise experience to manage Cloudera Hadoop environments.

You will install, configure, monitor, and optimize large clusters, ensure security, backups, and high availability, and coordinate with vendor support as needed. The role requires strong Linux/Unix administration and scripting skills, plus hands-on experience with Ambari/Cloudera Manager and related tools.

Qualifications

• 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 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.

Responsibilities

• 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 critical parts of the cluster.
• Maintenance and Operational activities.
• Maintenance of file system/log files.
• Manage OS patching, cluster parcel updates.
• Disaster recovery: backup plan for data reliability.
• Continual improvement: performance optimization, automation.

Skills

Hadoop

HDFS

YARN

Hive

Spark

Kafka

ZooKeeper

Oozie

Linux/Unix

Kerberos

Ranger

LDAP/Active Directory

Ambari

Cloudera Manager

Grafana

Splunk

Python automation

Tools

Ambari

Cloudera Manager

Grafana

Splunk

Job 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 theCloudera platform

• Install and deploy the Hadoop cluster, add andremove nodes
• Configure name-node, take backups, patch installations etc.

• Monitor tasks and all the critical parts of thecluster
• 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 andimprovements
• 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.