Key Responsibilities:

- 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
- Robust 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
- Basic scripting in Shell Python

Technical Requirements:

- Primary skills Technology Big Data Hadoop Hadoop Administration

Additional Responsibilities:

- Experience with cloud based Hadoop AWS EMR Azure HDInsight GCP Dataproc
- Knowledge of DevOps practices CI CD Docker Kubernetes
- Experience in high availability HA and disaster recovery DR setups

Preferred Skills:

Technology->Big Data - Hadoop->Hadoop Administration

📌 Hadoop Admin (India)
🏢 Infosys
📍 India