Description

You will manage and optimize large-scale Hadoop clusters and the surrounding big data ecosystem.

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 to ensure stability and efficiency.
• Perform capacity planning, resource allocation, and scaling to meet increasing data demands.
• Implement security measures such as user access control, data encryption, and vulnerability management using Kerberos, Ranger, or Sentry.
• Troubleshoot complex infrastructure issues and participate in an on-call rotation for production systems.

Required Skills

• 5+ years of experience in Hadoop administration using Cloudera, Hortonworks, or Apache distributions.
• Deep expertise in HDFS architecture, YARN resource management, and MapReduce frameworks.
• Hands-on experience with Hive, Spark, HBase, Kafka, and ZooKeeper.
• Strong proficiency in Linux operating systems such as CentOS, Red Hat, or Ubuntu.
• Proficiency in scripting languages including Shell (Bash), Python, or Perl for task automation.
• Experience with security implementations including Kerberos, Ranger, and Sentry.
• Competency with monitoring tools like Nagios, Ganglia, Cloudera Manager, or Ambari.
• Experience with log management systems such as Splunk or the ELK stack.
• Solid understanding of networking concepts relevant to distributed systems and Git for version control.

Preferred Skills

• Experience with Azure cloud services, Azure Data Factory, Databricks, or Snowflake.
• Knowledge of Docker, Kubernetes, or NoSQL databases like MongoDB and Cassandra.

Key Skills

Education

Any Gradute