BENGALURU · FULLTIME
Hadoop Admin
Infosys
Bengaluru · onsite · Posted 44d ago
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Undisclosed2–5 yrsfulltimeBengaluru
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Section · 01
About this role
Educational Requirements
Bachelor of Engineering
Service Line Data Analytics Unit
Responsibilities - Install, configure, and maintain Hadoop clusters (HDFS, YARN, MapReduce).
- Administer Hadoop ecosystem components such as Hive, HBase, Spark, Sqoop, Kafka, and Oozie.
- Monitor cluster health, performance, and storage capacity using tools like Ambari, Cloudera Manager, or similar.
- Configure and manage HDFS storage, replication, and data balancing.
- Implement and maintain security policies (Kerberos authentication, encryption, access controls).
- Perform cluster upgrades, patching, and capacity planning.
- Troubleshoot issues related to cluster performance, jobs, and data processing failures.
- Manage data ingestion and pipeline workflows.
- Ensure high availability and disaster recovery for Hadoop clusters.
- Collaborate with data engineers and architects for performance optimization and system improvements.
- Maintain documentation for cluster configurations and processes.
- 25 years of experience in Hadoop Administration / Big Data Platforms.
- Strong knowledge of Hadoop ecosystem components (HDFS, YARN, Hive, Spark).
- Hands-on experience with cluster management tools (Cloudera Manager, Ambari).
- Good understanding of Linux/Unix systems administration.
- Proficiency in shell scripting for automation and monitoring.
- Experience with performance tuning, troubleshooting, and cluster optimization.
- Familiarity with data ingestion tools (Sqoop, Kafka, Flume).
- Knowledge of distributed computing concepts and data storage systems.
- Understanding of networking and system architecture in distributed environments.
- Certifications such as Cloudera Certified Administrator (CCA) or equivalent.
- Experience with cloud-based Hadoop platforms (Azure HDInsight, AWS EMR, GCP Dataproc).
- Knowledge of DevOps practices and CI/CD pipelines.
- Exposure to containerization tools (Docker, Kubernetes) is a plus.
- Familiarity with data warehousing and ETL processes.
- Technology->Big Data - Hadoop->Hadoop Administration->Hadoop
Sourced from naukri
Section · 02
Skills
AutomationDevopsDockerBashKubernetesApache SparkApache KafkaHiveHdfscdgoogle cloud platformclouderasqoopyarncomponentsFlumeApache HadoopUnixHadoop AdministrationData WarehousingETLBig DataLinuxCi/Cd
Section · Company
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
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