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Data Engineer (SQL)
Data Engineer (SQL)-March 2024
Shanghai
Mar 28, 2026
About Data Engineer (SQL)

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Key Responsibilities:

Participate in supply chain analytics projects and work in partnership with various supply chain operation team / IT to understand business process flows, identify data needs across internal and external, structured and unstructured sources, and design solutions to satisfy analytics requirements.

Use various programming languages / tools, e.g. SQL, Databricks, Python, etc, to ensure data is accurately received, transformed, stored and made accessible for relevant key users to perform their works.

Ensure operational continuity and resolve technical and performance problems in data platforms.

Support the development of data visualization layers such as reporting and dashboard, and maintain daily operation for Business Intelligence platforms.

Key Requirements:

Minimum Bachelor's Degree required in quantitative field, including but not limited to Computer Science, Statistics, Information Systems, etc.

Minimum 2 - 4 year demonstrable experience with supply chain functions.

Good experience with ERP (SAP, Oracle).

At least 4 years working experience with RDBMS, programming languages and BI tools which may include SQL, Python, Databricks and PowerBI, etc.

Experience in ETL framework design, implementation and management.

Experience in data modeling.

Good command of English Mandarin.

Determined, self-motivated and adaptable to different working environments.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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