3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.
Job Description:
The 3M Corporate Research Laboratories (CRL) drive breakthrough innovation across the company by developing advanced technologies that enable new products and strengthen core businesses. CRL scientists and engineers collaborate across global research teams to explore emerging materials, process technologies, and digital solutions that support 3Mโs longโterm growth. The organization combines deep technical expertise with a culture of curiosity, creativity, and scientific excellence.
3M ์ค์์ฐ๊ตฌ์(Corporate Research Laboratories, CRL)๋ ์ฒจ๋จ ๊ธฐ์ ๊ฐ๋ฐ์ ํตํด ํ์ ์ ์ฃผ๋ํ๋ฉฐ ์๋ก์ด ์ ํ ์ฐฝ์ถ๊ณผ ํต์ฌ ์ฌ์
๊ฐํ๋ฅผ ์ง์ํฉ๋๋ค. CRL์ ์ฐ๊ตฌ์๊ณผ ์์ง๋์ด๋ค์ ๊ธ๋ก๋ฒ ์ฐ๊ตฌ ๋คํธ์ํฌ์ ํ๋ ฅํ์ฌ ์ ์์ฌ, ๊ณต์ ๊ธฐ์ , ๋์งํธ ์๋ฃจ์
๋ฑ ๋ฏธ๋ ๊ธฐ์ ์ ํ๊ตฌํ๊ณ 3M์ ์ฅ๊ธฐ์ ์ธ ์ฑ์ฅ์ ๋ท๋ฐ์นจํฉ๋๋ค. CRL์ ๊น์ด ์๋ ๊ธฐ์ ์ ๋ฌธ์ฑ๊ณผ ํธ๊ธฐ์ฌ, ์ฐฝ์์ฑ, ๊ณผํ์ ์ฐ์์ฑ์ ๊ธฐ๋ฐ์ผ๋ก ํ์ ๋ฌธํ๋ฅผ ๋ฐ์ ์ํค๊ณ ์์ต๋๋ค.
The person hired for the position of 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 of this position include but are not limited to the following:ย
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.
Senior Data Engineer, Corporate Research Laboratory Asiaํฌ์ง์
์ Corporate Research Laboratory์ ์ธํฌ๋งคํฑ์ค ์ ์ฉ์ ์์์ R&D ์ ๋ฐ์ ์ง์ํ๋ฉฐ, ๋ฐ์ดํฐ ์ํคํ
์ฒ, ๋ฐ์ดํฐ ํตํฉ, ๋ฐ์ดํฐ ๊ฑฐ๋ฒ๋์ค, ๊ทธ๋ฆฌ๊ณ ๊ณผํยท๊ธฐ์ ยท์ด์ ์ธ์ฌ์ดํธ๋ฅผ ์ ๊ณตํ๋ ์ง์ญ ๋์งํธ ์ ํ๋ฆฌ์ผ์ด์
๊ฐ๋ฐ์ ์ค์ ์ ๋ก๋๋ค.
์ฃผ์ ์
๋ฌด ์ฑ
์์ ๋ค์๊ณผ ๊ฐ์ผ๋, ์ด์ ์ ํ๋์ง๋ ์์ต๋๋ค. :
์์์ ์ฐ๊ตฌ์์ ์ธํฌ๋งคํฑ์ค ์๊ตฌ๋ฅผ ์ง์ํ๊ธฐ ์ํ ํ์ฅ ๊ฐ๋ฅํ ๋ฐ์ดํฐ ์ํคํ
์ฒ ์ค๊ณ ๋ฐ ๊ตฌํ
์คํ์ค ์์คํ
, ์ฐ๊ตฌ ํ๋ซํผ, ์ง์ญ ๋ฐ์ดํฐ ์์ค ๊ฐ ๋ฐ์ดํฐ ํตํฉ ์ฃผ๋ ๊ธ๋ก๋ฒ ๊ธฐ์ค๊ณผ ์ผ์นํ๋ ๋ฐ์ดํฐ ๊ฑฐ๋ฒ๋์ค ํ์ค ์๋ฆฝ ๋ฐ ์ ์ง
๋ฐ์ดํฐ ํ์งยท์ผ๊ด์ฑยท๋ด๋ถ ์๊ฑด ์ค์ ํ๋ณด ์์์ R&D ์
๋ฌด๋ฅผ ์ง์ํ๊ธฐ ์ํ ๋์งํธ ์ ํ๋ฆฌ์ผ์ด์
๋ฐ ๋ถ์ ๋๊ตฌ ๊ฐ๋ฐยท๋ง์ถคํยท์ ์ง
์ฐ๊ตฌ, ์คํ, ์์ฌ๊ฒฐ์ ์ ์ง์ํ๊ธฐ ์ํ ๋ฐ์ดํฐ ํ์ดํ๋ผ์ธ, ๋ชจ๋ธ, ๋์๋ณด๋ ๊ตฌ์ถ ๋ฐ ๊ด๋ฆฌ
Qualification
Bachelorโs 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
ย
์ปดํจํฐ ๊ณตํ, ์ ๊ธฐ๊ณตํ ๋๋ ๊ด๋ จ๋ถ์ผ ํ์ฌ ํ์ ์ด์ ์ทจ๋์
๋๋ ํํ/์ฌ๋ฃ ๋ถ์ผ ์ ๊ณต์์ด๋ฉด์ Data engineering ๋ถ์ผ ๊ฒฝ๋ ฅ์ด ์๋ ์
๋ฏผ๊ฐ, ๊ณต๊ณต, ์ ๋ถ ๋๋ ๊ตฐ ํ๊ฒฝ์์ 2๋
์ด์์ ๋ฐ์ดํฐ ์์ง๋์ด๋ง ๋๋ ํด๋ผ์ฐ๋ ๊ฐ๋ฐ ๊ฒฝํ
๋ฐ์ด๋ ๋์ธ ๊ด๊ณ ๋ฅ๋ ฅ์ ๊ฐ์ถ๊ณ ์ ๊ด๋ถ์์ ํ์ํ๊ฒ ํ์
ํ ์ ์์ด์ผ ํฉ๋๋ค.
๋์ ๋๊ธฐ๋ถ์ฌ๋ฅผ ๊ฐ๊ณ ์ฃผ๋์ ์ผ๋ก ์
๋ฌด๋ฅผ ์์ํ๋ฉฐ ์ฐฝ์์ ์ผ๋ก ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ ์ ์์ด์ผ ํฉ๋๋ค.
ย
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.ย
Drive advanced model adoption through rigorous understandingย 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.ย ย
ย
์ปดํจํฐ ๊ณตํ, ์ ๊ธฐ๊ณตํ ๋๋ ๊ด๋ จ ๋ถ์ผ ์์ฌ ๋๋ ๋ฐ์ฌ ํ์
DynamoDB, AWS Lambda, Glue, Batch, S3, EFS, EBS, FSx, DataSync, Amazon Sagemaker, Jupyter, Spark ๋ฑ ๋ถ์ฐ ์ปดํจํ
ํ๋ซํผ, auth0, Active Directory ๋ฑ AWS ํด๋ผ์ฐ๋ ๊ฐ๋ฐ์ ๋ํ ์ง์ ์ ์ธ ์ ๋ฌธ์ฑ
Python(๋ฐ SciPy ์คํ), JavaScript, Matlab, GitHub, Drone CI ๋ฑ ์ํํธ์จ์ด ๊ฐ๋ฐ ๋ถ์ผ์ ์ ๋ฌธ์ฑ
SQL ๋ฐ NoSQL ๋ฐ์ดํฐ๋ฒ ์ด์ค๋ฅผ ํฌํจํ ๋ฐ์ดํฐ๋ฒ ์ด์ค ๊ตฌ์ถ ๋ฐ ๊ด๋ฆฌ์ ๋ํ ์ ๋ฌธ์ฑ
React/Redux, HTML, Django/Flask, Django REST framework, Dash/Plotly, Power BI ๋ฑ ์น ์ ํ๋ฆฌ์ผ์ด์
๋ฐ ๋ฐ์ดํฐ ์๊ฐํ ๊ธฐ๋ฒ์ ๋ํ ์ ๋ฌธ์ฑ
์ต์ ๋ฐ์ดํฐ ๊ณผํ ๊ธฐ๋ฒ์ ๊น์ด ์ดํดํ๊ณ ์ ์ฉํ์ฌ ๊ณ ๊ธ ๋ชจ๋ธ ๋์
์ ์ถ์ง
๊ธฐ์ ํต๊ณ ๋ชจ๋ธ, ์์ธก ๋ชจ๋ธ, ๋ถ๋ฅ ์๊ณ ๋ฆฌ์ฆ, ์ ๊ฒฝ๋ง ๋ชจ๋ธ, ๋จธ์ ๋ฌ๋ ๊ธฐ๋ฐ ์๊ณ ๋ฆฌ์ฆ ๊ฐ๋ฐ ๋ฐ ๊ตฌํ
Condition
Type: ์ ๊ท์งย (์์ต๊ธฐ๊ฐ 3๊ฐ์)
Location: ํ๊ตญ3M ์์ธ ๋ํ ๊ธฐ์ ์ฐ๊ตฌ์ (๊ฒฝ๊ธฐ ํ์ฑ์ ์ผ์ฑ1๋ก5๊ธธ 7)
โ
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