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【職位名稱】Data Engineer/Analyst

 

[Summary ]
Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Data Engineer/Analyst to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject experts to build and enhance data intelligence applications.

[Responsibilities]
•    Collaborate with Data Engineers, Data Scientists and users to build enterprise data platform.
•    Collaborate with teams across Winbond to identify opportunities in productivity enhancement, to propose and implement solutions.
•    Collaborate with teams across Winbond and Data Scientists to identify business opportunities and provide actionable insights through data pipeline, reports or analysis.
•    Source internal data across departments and external data into the data platform. Design and deploy solutions to unlock the values of data securely.
•    Proactively learn state-of-art of data technology, science and best practice. Share and promote critical mindset, concepts, knowledge, tools across Winbond.

【Qualifications】
[Required Qualification]
One or more are required as below:
•At least 2 years related experience in or supporting ERP functions
•At least 2 years experience with ETL tools, preferably SQL Server Integration Services(SSIS)
•At least 3 years experience building databases, datamarts or data warehouse with structured querying language(SQL) across multiple platforms, preferably Microsoft SQL Server.
•Experience with data visualization and reporting software. Preferably SQL Server Reporting Services(SSRS), Power BI Service or Power BI on Premise.
•Experience with data profiling, data quality or master data management
•Excellent project management, communication, and leadership skills including producing quality deliverables under tight deadlines, is a plus.
[Preferred Qualification]
•Passion for data processing, engineering and discovering insights from big data.
•Passion for understanding new domain knowledge, learning new skills, and experimenting new practices.
•Strong analytical skills. Ability to quickly grasp new concepts and identify problems.
•Strong working knowledge in one of the following areas: data engineering, data warehouse, data platform, frontend or backend development.
•Great interpersonal skills and ability to work in a collaborative environment and cross-functionally.
•Experience with data governance or data category design

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