Azure Data Engineer — Databricks & Cloud DataOps (RM8k-10k)

Scicom MSC Berhad

Kampung Cendana

On-site

MYR 89,000 - 112,000

Full time

10 days ago

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Benefits offered by this job

Performance bonus
Annual leave
Medical leave
Medical coverage
Salary range RM 8k-10k

Job summary

Scicom MSC Berhad is seeking an Azure Data Engineer to optimize enterprise cloud data operations focused on Microsoft Azure, Databricks cluster management, and robust ETL/ELT pipelines. The role emphasizes health and performance of data lakes and warehouses with comprehensive monitoring and logging strategies.

You will oversee Databricks management, develop data workflows, and implement monitoring using Azure Monitor, Log Analytics, and Datadog to proactively resolve bottlenecks and ensure data

Qualifications

  • Bachelor's degree or above in a technical field
  • 3–5 years of professional cloud operations experience with a focus on Microsoft Azure
  • 2+ years hands-on Databricks experience (cluster management, data pipelines, performance)
  • Solid understanding of ETL/ELT, data lakes and data warehouses
  • Experience with monitoring/logging tools: Azure Monitor, Log Analytics, Datadog
  • Excellent written and verbal English; Chinese skills a plus

Responsibilities

  • Oversee cloud data operations with a focus on Azure
  • Perform Databricks administration: cluster config, scaling and performance tuning
  • Develop and maintain ETL/ELT data pipelines across data lakes and warehouses
  • Implement robust monitoring and logging using Azure Monitor, Log Analytics and Datadog

Skills

Azure cloud operations
Databricks administration
Data pipeline development
Monitoring & logging
English communication

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks
Azure Monitor
Log Analytics
Datadog

Job description

Scicom MSC Berhad is seeking an Azure Data Engineer to optimize enterprise cloud data operations focused on Microsoft Azure, Databricks cluster management, and robust ETL/ELT pipelines. The role emphasizes health and performance of data lakes and warehouses with comprehensive monitoring and logging strategies.

You will oversee Databricks management, develop data workflows, and implement monitoring using Azure Monitor, Log Analytics, and Datadog to proactively resolve bottlenecks and ensure data

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