Senior Hadoop & Big Data Platform Administrator

CORNERSTONE GLOBAL PARTNERS PTE. LTD.

Singapore

On-site

SGD 120,000 - 160,000

Full time

10 days ago
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Job summary

Cornerstone Global Partners Pte. Ltd. is seeking an experienced Big Data Administrator to join the IT infrastructure and production support team.

The role focuses on administration, monitoring, and optimisation of Hadoop-based Big Data platforms in a production environment. You will collaborate with infrastructure, development, architecture and project teams to ensure system availability and performance. Key responsibilities include building and maintaining Hadoop clusters, performing updates,

Qualifications

  • Minimum 8 years of relevant experience in system administration, infrastructure support or a related technical environment.
  • At least 1–2 years of hands-on experience deploying and administering large-scale Hadoop clusters.
  • Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.

Responsibilities

  • Administer, maintain and support Hadoop-based Big Data infrastructure in production environments.
  • Build, configure and maintain Hadoop clusters and associated components.
  • Perform Hadoop updates, patches, upgrades and cluster deployments.
  • Manage cluster nodes, including node addition, removal and configuration.
  • Support and administer Kafka environments and troubleshoot related operational issues.

Skills

Linux admin
Hadoop admin
Kafka admin
OpenSearch admin
Elasticsearch admin
Python scripting
Shell scripting
Kerberos security
YARN / Hadoop

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Ambari
Spark
Hive

Job description

Cornerstone Global Partners Pte. Ltd. is seeking an experienced Big Data Administrator to join the IT infrastructure and production support team.

The role focuses on administration, monitoring, and optimisation of Hadoop-based Big Data platforms in a production environment. You will collaborate with infrastructure, development, architecture and project teams to ensure system availability and performance. Key responsibilities include building and maintaining Hadoop clusters, performing updates,

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