Description
The 3M Corporate Research Laboratories (CRL) drives breakthrough innovation across the company by developing advanced technologies that enable new products and strengthen core businesses.
The Senior Data Engineer, Corporate Research Laboratory Asia will support the application of Corporate Research Laboratory informatics across Asia R&D, with emphasis on data architecture, data integration, data governance practices, and development of localized digital applications that enable scientific, technical, and operational insights.
Primary Responsibilities
- Design and implement scalable data architectures to support Asia lab informatics needs.
- Lead data integration efforts across laboratory systems, research platforms, and regional data sources.
- Establish and maintain data governance standards aligned with global practices, ensuring data quality, consistency, and compliance with internal requirements.
- Develop, tailor, and maintain local digital applications and analytical tools that support Asia R&D workflows.
- Build and manage data pipelines, models, and dashboards to support research, experimentation, and decision-making.
Qualification
- Bachelor’s degree in computer science or electrical engineering or a related field from an accredited institution.
- Data engineering experience with a background in chemistry or materials science is preferred.
- Min. Two years of data engineering or cloud development experience in a private, public, government or military environment.
- Must have excellent interpersonal skills and the ability to excel in cross-functional environments.
- Must be highly motivated, self-starting and a creative problem solver.
Preferred Qualification
- Master or Ph.D. degree in computer science or electrical engineering or a related field from an accredited institution.
- Direct expertise in AWS cloud development including knowledge of DynamoDB, AWS lambda, Glue, Batch, S3, EFS, EBS, FSx, DataSync, Amazon Sagemaker, Jupyter, and distributed computing platforms such as Spark, auth0 and Active Directory.
- Expertise in software development including Python (and SciPy stack), JavaScript, Matlab, GitHub, Drone CI.
- Expertise in database creation and management including SQL and noSQL databases.
- Expertise with web application and data visualization methodologies including React/Redux, HTML, Django/Flask, Django REST framework, Dash/Plotly, and Power BI.
- Drive advanced model adoption through rigorous understanding and application of the state-of-the-art data science methodologies.
- Develop and implement descriptive models, predictive models, classification algorithms, neural network models, and machine learning-based algorithms.