Data Engineer

Pharmaceutical Product Development (PPD)

Shanghai, Shanghai, China

Work Schedule

Environmental Conditions

Job Description

COMPANY INFORMATION

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies or increasing efficiency in their laboratories, we are here to support them. Our team of more than 100,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com.

Key Responsibilities:

Participate in supply chain analytics projects and work in partnership with supply chain Value Stream / IT to understand business process flows, identify data needs across internal and/or 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 properly received, transformed, stored and made accessible for relevant key users to perform their works.

Ensure operational continuity and troubleshoot 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 years 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 but not limited to: SQL, Python, Databricks and PowerBI.