Senior Data Engineer - Azure Data Lakes & Pipelines

Genki Sushi; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• Bachelor’s degree in CS/DS/Statistics/Math or equivalent.
• Minimum 5 years of data engineering experience.
• Strong expertise in Azure Synapse Analytics and Databricks.
• Proficiency in Python and PySpark for ETL automation.
• Experience with star schemas and dimensional models.
• Experience with data management tools and BI dashboards.
• Excellent communication and cross‑functional collaboration.

Responsibilities

• Design, develop, and maintain robust data pipelines and ETL processes across multiple sources.
• Design analytical solutions to address strategic business problems through research and engagement.
• Collaborate with data analysts, data scientists, and stakeholders to translate data needs into technical solutions.
• Implement and optimize data models, including star schemas, for efficient querying.
• Leverage Azure Synapse Analytics, Databricks, and other Azure services to build scalable data infrastructure.
• Ensure data quality and consistency across all layers of the data lakehouse (bronze, silver, gold).
• Automate ETL processes using SQL, Python, PySpark, or similar technologies.
• Monitor performance, security, and reliability of data systems.
• Provide technical leadership and guidance on best practices in data engineering.
• Document data pipelines, processes, and architecture for transparency.

Skills

Azure Synapse Analytics

Databricks

Python

PySpark

Data modeling (star schemas)

ETL automation

SQL

Data governance

Communication skills

Stakeholder collaboration

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or equivalent

Tools

Delta Lake

BI dashboards

Data Management Platform

Job description

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.