Azure Data Engineer: Databricks & ETL Pipeline Expert

Scicom (MSC) Berhad

Kuala Lumpur

On-site

MYR 89,000 - 112,000

Full time

9 days ago

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Benefits offered by this job

Salary RM 8,000–RM 10,000

Performance bonus

Annual leave 15 days

Medical leave 14 days

Medical and hospitalization coverage

Job summary

Scicom (MSC) Berhad in Kuala Lumpur, Malaysia, is seeking an Azure Data Engineer to optimize enterprise cloud data operations. The role centers on Azure, Databricks cluster management, robust ETL/ELT pipelines, and ensuring health of data lakes and warehouses with monitoring and logging.

The ideal candidate holds a Bachelor’s degree, 3–5 years in cloud operations on Azure, 2+ years with Databricks, and strong knowledge of data engineering concepts.

Qualifications

Bachelor’s degree or above in Computer Science or related field.
3–5 years of cloud operations experience with a focus on Azure.
2+ years hands-on Databricks experience including cluster management.
Knowledge of ETL/ELT, data lakes and data warehouses.
Experience with Azure Monitor, Log Analytics and Datadog.
Good English communication; Chinese a plus.

Responsibilities

Oversee and optimize cloud data operations in Azure.
Manage Databricks clusters, configuration, scaling and performance.
Develop, maintain and troubleshoot complex ETL/ELT pipelines.
Implement robust monitoring and logging for data workflows.

Skills

Cloud operations

Azure

Data engineering

English communication

Education

Bachelor's degree or above

Tools

Databricks

Azure Monitor

Log Analytics

Datadog

Job description

The ideal candidate holds a Bachelor’s degree, 3–5 years in cloud operations on Azure, 2+ years with Databricks, and strong knowledge of data engineering concepts.

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