Job Description
Data Engineer (Mid–Senior) | Azure & Databricks
Kuala Lumpur | Hybrid (4 Days Office, 1 Day WFH)
Our client is hiring a hands-on Data Engineer to join a small Advanced Analytics team supporting data science and analytics initiatives.
What You'll Do
Build and maintain scalable data pipelines (batch & real-time)
Work closely with Data Scientists, Analysts, and Product stakeholders
Develop data integrations from databases, APIs, and applications
Optimize, monitor, and troubleshoot data pipelines
Support data platform, analytics, and MLOps initiatives
Tech Stack
Must-have:
Databricks
Azure Data Engineering (ADF, ADLS, Spark, PySpark, Python, SQL)
Nice to have:
Snowflake
AWS / GCP
What We're Looking For
Strong hands-on data engineering experience (beyond data modeling)
Experience building pipelines, transformations, and integrations
Comfortable working in a small, collaborative team
Team & Culture
Small team of 4 (Advanced Analy...
Kuala Lumpur | Hybrid (4 Days Office, 1 Day WFH)
Our client is hiring a hands-on Data Engineer to join a small Advanced Analytics team supporting data science and analytics initiatives.
What You'll Do
Build and maintain scalable data pipelines (batch & real-time)
Work closely with Data Scientists, Analysts, and Product stakeholders
Develop data integrations from databases, APIs, and applications
Optimize, monitor, and troubleshoot data pipelines
Support data platform, analytics, and MLOps initiatives
Tech Stack
Must-have:
Databricks
Azure Data Engineering (ADF, ADLS, Spark, PySpark, Python, SQL)
Nice to have:
Snowflake
AWS / GCP
What We're Looking For
Strong hands-on data engineering experience (beyond data modeling)
Experience building pipelines, transformations, and integrations
Comfortable working in a small, collaborative team
Team & Culture
Small team of 4 (Advanced Analy...
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