岗位描述
岗位职责
1.Manage and develop EDW data structures, including tables, views, data marts, and semantic models, following agreed modelling, naming, and governance standards.
Develop, maintain, and optimize ETL/ELT pipelines and SQL-based transformations to integrate, clean, enrich, validate, and standardize data from multiple source systems.
Monitor data quality, investigate root causes, and drive resolution of data and transformation issues with relevant business and IT stakeholders.
Automate and improve data pipelines to increase reliability, scalability, performance, and development efficiency.
Build reliable, reusable datasets and semantic models for Power BI, ensuring consistent definitions and reporting across the organization.
Support Power BI development where required, including data modelling, DAX, row-level security, and performance optimization.
Develop and support Machine Learning, statistical analysis, and forecasting solutions, including preparation of training datasets, model development/validation, and integration of predictive outputs into BI and business processes.
Apply GitHub-based version control and structured development practices, including documentation, testing, code reviews, and controlled deployment of SQL, analytics, and ML solutions.
岗位要求
学历:資工資管;大學/二技/四技以上
语言:英語精通
工作年限:3-5年
工作经验要求:
1.The ideal candidate has relevant experience in a business intelligence, data engineering, data management, or advanced analytics environment. Experience should preferably include working with Enterprise Data Warehouses, ETL/ELT processes, SQL-based data transformation, semantic models, and Power BI solutions, complemented by exposure to Machine Learning, statistical analysis or forecasting techniques.
其他要求:
Experience with Git-based version control and structured development practices is considered an advantage.