Senior Data Engineer
Senior Data Engineer
cmc global company limited.- Posted 16 hours ago
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Job Description
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: [Confidential Information]



