Azure Cloud & Databricks Engineer – Data Platform

Career International FOS Pte Ltd; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Global brand

Collaborative culture

Career development

Enterprise-scale infra

Job summary

Career International FOS Pte Ltd is seeking a skilled Cloud & Databricks Engineer to design, deploy, and optimize cloud infrastructure on Microsoft Azure and to build robust data pipelines on Databricks. You will support analytics, reporting, and data-driven decision-making across a global service network.

The role requires 3–5 years in cloud operations with a focus on Azure and at least 2 years with Databricks, including pipeline development and performance tuning.

Qualifications

• Bachelor's degree in CS/IT or related field required.
• 3–5 years in cloud operations with emphasis on Azure.
• 2+ years’ hands-on Databricks experience including pipelines.

Responsibilities

• Design, deploy, and maintain Azure cloud infrastructure for high availability and security.
• Manage and optimize Databricks environments, including clusters and jobs.
• Build and maintain data pipelines using Databricks (Delta Lake, PySpark, Spark SQL).
• Monitor performance, costs, and security; identify bottlenecks and risks.
• Collaborate with data, analytics, and IT teams on production data solutions.
• Implement CI/CD, IaC practices, and cloud governance guidelines.
• Troubleshoot issues and document runbooks and architectures.

Skills

Azure

Databricks

PySpark

Spark SQL

Delta Lake

Terraform

ARM Templates

Azure DevOps

CI/CD

Security

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Tools

Terraform

ARM Templates

Azure DevOps

Job description

Career International FOS Pte Ltd is seeking a skilled Cloud & Databricks Engineer to design, deploy, and optimize cloud infrastructure on Microsoft Azure and to build robust data pipelines on Databricks. You will support analytics, reporting, and data-driven decision-making across a global service network.

The role requires 3–5 years in cloud operations with a focus on Azure and at least 2 years with Databricks, including pipeline development and performance tuning.