Junior Intelligent Operation Engineer

3 days ago

Greater Kuala Lumpur, Malaysia PowTech Solution Full time 80,000 - 120,000 per year

Detailed requirement description

  • Experience:
     3+ years of hands-on experience in operations/engineering for big data platforms or related fields.
  • Hive Expertise:
     In-depth understanding of Hive architecture and proven experience in performance tuning for complex Hive SQL queries. Familiarity with execution engines like Tez or Spark.
  • Databricks Experience:
     Practical, hands-on experience in administering Databricks platforms, including deep knowledge of their architecture, cluster management, Workspace, and job execution.
  • Cloud Proficiency:
     Solid experience with at least one major cloud provider (AWS, Azure, or GCP) and its core services (EC2/VMs, S3/Blob Storage, IAM, VPC, etc.).
  • Problem-Solving:
     Excellent problem-solving skills, a strong sense of ownership, and effective communication abilities.

Scope of Work

  • Platform Operations:
     Operate, monitor, and ensure the high availability of our big data platform (Hadoop/Spark ecosystem) and cloud infrastructure (Azure). Perform troubleshooting and performance tuning.
  • Hive Cluster Management:
     Manage and optimize Hive data warehouses, including metadata management, Hive SQL performance tuning, resource queue configuration, access control, and user support.
  • Databricks Administration:
     Oversee the deployment, configuration, upgrading, and daily operations of Databricks workspaces (Databricks on Azure Databricks). Manage cluster policies, job scheduling, cost optimization, and user permissions.
  • Monitoring & Alerting:
     Design, implement, and maintain a comprehensive monitoring and alerting system (using tools like Prometheus/Grafana/Datadog) to ensure platform health and rapid incident response.
  • User Support & Documentation:
     Provide technical support to data developers and analysts. Create and maintain high-quality operational documentation and runbooks.

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