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Hadoop Admin

Date Posted
18 July 2026
Location
Bangalore
Positions
1
Employment Information
Job Level
Lead
Open Positions
1
Location
Bangalore
Address
Bengaluru, India
Experience
7+ Years
Functional Area
Technology
Job Description

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.

Technical and Professional Requirements: 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.

Preferred Skills: Technology->Big Data - Hadoop->Hadoop Administration

Skills & Tags
Skills
AWSDevOpsDockerGoKubernetesLinux
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