Hadoop Admin
Infosys
Cluster Management
Install, configure, and maintain Hadoop clusters (Cloudera, Hortonworks, or Apache Hadoop) Manage core components including HDFS, YARN, MapReduce Perform cluster scaling, upgrades, and patching
Administration & Monitoring
Monitor cluster performance, health, and usage Troubleshoot and resolve cluster issues, failures, and bottlenecks Implement alerting and monitoring tools (Ambari, Cloudera Manager, Grafana)
Security & Governance
Configure and manage Kerberos authentication Implement data security policies using Ranger / Sentry Handle user access controls and permissions
Data Management
Manage data storage, replication, and backup strategies Optimize HDFS performance and storage utilization Handle data ingestion and integration workflows
Performance Optimization
Tune Hadoop cluster performance (memory, CPU, storage) Optimize YARN resource allocation and scheduling Identify and resolve performance issues in jobs
Integration & Support
Support tools in Hadoop ecosystem:
Hive Spark HBase Sqoop / Flume / Kafka
Work closely with data engineers and developers
Required Skills & Qualifications Core Technical Skills
3–6 years of experience in Hadoop Administration Strong knowledge of:
HDFS, YARN, MapReduce Hadoop ecosystem tools
Experience with Linux system administration (mandatory)
Big Data Ecosystem
Familiarity with:
Hive, Spark, HBase Kafka, Sqoop, Flume
Understanding of distributed computing concepts
Tools & Platforms
Experience with:
Cloudera Manager / Ambari Monitoring tools (Nagios, Prometheus, Grafana)
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