Description

You will manage the installation, configuration, and performance optimization of large-scale Hadoop clusters and big data ecosystems.

This role is on-site.

Responsibilities

• Install, configure, and maintain Hadoop clusters and ecosystem components including HDFS, YARN, MapReduce, Hive, Pig, Spark, HBase, Kafka, and ZooKeeper.
• Monitor system performance, identify bottlenecks, and implement optimizations for stability and efficiency.
• Perform capacity planning, resource allocation, and scaling to meet growing data demands.
• Implement security measures such as user access control, data encryption, and vulnerability management using Kerberos, Ranger, or Sentry.
• Develop scripts and automation tools for routine administrative tasks and manage backup and recovery strategies.

Required Skills

• 5+ years of experience in Hadoop administration managing large-scale clusters (Cloudera, Hortonworks, or Apache distributions).
• Proficiency with Linux operating systems including CentOS, Red Hat, and Ubuntu.
• Strong scripting skills in Python, Shell (Bash), or Perl for task automation.
• Deep knowledge of HDFS architecture, YARN resource management, and Spark in-memory processing.
• Experience with distributed coordination via ZooKeeper and streaming via Kafka.
• Hands-on experience with monitoring tools like Nagios, Ganglia, Cloudera Manager, or Ambari.
• Experience with log management systems such as Splunk or the ELK stack.
• Familiarity with version control systems like Git.
• Understanding of networking concepts relevant to distributed systems.

Preferred Skills

• Cloudera Certified Administrator for Apache Hadoop (CCAH), Hortonworks Certified Apache Hadoop Administrator (HCA), or MapR Certified Hadoop Administrator (MCHA).
• Experience with Azure cloud services.

Key Skills

Education

Any Graduate