Hadoop Admin

Infosys Limited
Posted on
Infosys Limited logo
Experience
3 - 5 yrs
Salary (CTC)
₹6.3L - ₹8L
Job Location
Bengaluru, India
Vacancy
1
Designation
Hadoop Administrator
Job Type
Not specified

Job Description

Educational Requirements
Bachelor of Engineering, BTech, BCA, BSc, MTech, MSc, MCA
Service Line
Data Analytics Unit
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
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
Technical and Professional Requirements
  • Core Technical Skills: 36 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: Hive, Spark, HBase, Kafka, Sqoop, Flume; Understanding of distributed computing concepts
  • Tools Platforms: Cloudera Manager / Ambari; Monitoring tools (Nagios, Prometheus, Grafana); Basic scripting in Shell / Python
Preferred Skills
  • Technology- >Big Data - Hadoop- >Hadoop Administration

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