Senior Data Engineer - Azure Data Lakes & Pipelines
Summary
Build and maintain scalable Azure-based data pipelines and ETL processes to deliver analytics-ready models for business insights.
Genki Sushi is seeking a skilled Data Engineer in Kuala Lumpur to design, build, and maintain robust data pipelines and ETL processes across multiple sources. You will collaborate with data analysts and business stakeholders to translate data needs into scalable technical solutions and analytics-ready models.
You will implement star schemas, optimize data models, and leverage Azure Synapse and Databricks to create scalable data infrastructure.