Data Engineer/Analyst (竹北)

Updated 10 months ago

Job Description



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.

•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


[Required Qualifications]
•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.
•Strong working knowledge in at least one of the following programming languages, such as SQL, Python, .Net or java .
•Working knowledge or experience in one or more following areas: SAP S/4 Hana, SAP BW, SAP ERP, Tableau, Power BI, machine learning, data mining, optimization algorithms, statistics, is a plus.
•Excellent project management, communication, and leadership skills including producing quality deliverables under tight deadlines, is a plus.
•Great interpersonal skills and ability to work in a collaborative environment and cross-functionally.

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