Data Engineer

** เข้าออฟฟิศ 100% / จันทร์ - ศุกร์ (หยุดเสาร์-อาทิตย์) เวลา 08.00-17.00 น.

- Providing end-to-end Data Analytics application or platform e.g. ETL/ELT, Enterprise, Data Warehouse, Data Lake and Dashboard / Reports.
- Developing, constructing and maintaining Data Architectures, handling raw structure and unstructured data serving for business requirements.
- Conducting testing on relevant data platforms, handling error logs, building data pipelines including fixing configuration problem.
- Governing provided data destination (Data mart) fit to secure access and data utilization
- Developing and supporting the data architectures utilized by Data Analysts (both internal & external business users).
- Developing further Data Modeling, Data Mining and Data production such as Data Lake and improving data quality and efficiency."

- Data Management: Azure Database, Azure purview, Microsoft SQL Server - Mandatory
- Data processing programming language: Microsoft SQL, Python -Mandatory
- Data Visualization: Tableau or Microsoft Power BI - Mandatory
- Microsoft Data lakehouse and API (web service) programming
- Language: Java, Python, and C++ or MuleSoft (API gateway platform)
- SAP Platform & Technology: SAP S/4HANA, internal/external APIs, or any datasource platform
- Proficient in Python, PySpark, SQL"