We're looking for a Data Engineer with strong hands-on experience in Microsoft Fabric to build and optimize modern data platforms, including Data Warehouse, Data Lakehouse, and end-to-end data pipelines.
🔎 Requirements
2+ years of experience as a Data Engineer or in a similar role.
1+ year of hands-on experience with Microsoft Fabric, including designing and building Data Warehouse or Data Lakehouse solutions.
Strong experience with Apache Spark / PySpark and open table formats such as Delta Lake or Apache Iceberg.
Hands-on experience building end-to-end data pipelines using Medallion Architecture (Bronze / Silver / Gold).
Strong SQL skills with experience in SQL, Spark jobs, and data pipeline performance optimization.
Experience with data orchestration and managing dependencies across multiple pipelines, jobs, and data layers.
Good knowledge of Data Modeling, preferably dimensional modeling for analytical and reporting systems.
Experience building and maintaining CI/CD pipelines for data platforms and data pipelines.
Experience with Power BI, Tableau, or similar BI tools is a plus.
Experience working with SAP S/4HANA, SAP HANA, SAP BW, or SAP SLT is a plus.
🔎 Key Responsibilities
Design, develop, and maintain scalable data pipelines and data platforms on Microsoft Fabric.
Build and optimize Data Warehouse / Data Lakehouse solutions using Fabric.
Develop end-to-end Bronze → Silver → Gold data pipelines.
Work with Spark, SQL, Delta Lake / Iceberg to process and transform large-scale data.
Design orchestration and manage complex dependencies across data pipelines and processing jobs.
Optimize SQL queries, Spark jobs, and data pipelines for performance and reliability.
Design and maintain data models supporting analytical and reporting requirements.
Implement and maintain CI/CD for data platforms and pipelines.
Collaborate with
Data Analysts,
Data Scientists, Architects, and other technical teams to deliver data solutions.
📍 Location: Hanoi
💼 Employment: Full-time
Email: [protected info]