Atotech Germany GmbH & Co. KG
Mandatory Internship in IT Industrial Digitalization(m/w/x)
Full-timeInternshipOn-site
Berlin
from 620 / month
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ATAtotech Germany GmbH & Co. KG
Mandatory Internship in IT Industrial Digitalization(m/w/x)
Berlin
from 620 / month
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Developing AWS IoT data logging pipelines and SageMaker workflows for industrial systems. Master's program enrollment in CS, IT, or Data Science required. Direct project involvement in industrial digitalization with AWS cloud tools.
Requirements
- Enrollment in a master’s program in Computer Science, Information Technology, or Data Science
- Solid understanding of cloud computing concepts and familiarity with AWS services
- Proficiency in one or more programming languages such as Python, Java, or R
- Interest in data analytics, IoT ecosystems, and machine learning workflows
- Strong written and verbal communication skills in English, analytical thinking, and a proactive, self-driven mindset
- High motivation to learn and contribute to impactful corporate initiatives
Tasks
- Develop and deploy AWS IoT-based data logging pipelines
- Design and implement data processing workflows using AWS SageMaker
- Build interactive dashboards with AWS QuickSight
- Test and validate cloud solutions for scalability and reliability
- Collaborate with engineers and data scientists to define requirements
- Document technical workflows and system architectures
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- AWS IoT
- SageMaker
- QuickSight
- Python
- Java
- R
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Atotech Germany GmbH & Co. KG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ATAtotech Germany GmbH & Co. KG
Mandatory Internship in IT Industrial Digitalization(m/w/x)
Berlin
from 620 / month
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Developing AWS IoT data logging pipelines and SageMaker workflows for industrial systems. Master's program enrollment in CS, IT, or Data Science required. Direct project involvement in industrial digitalization with AWS cloud tools.
Requirements
- Enrollment in a master’s program in Computer Science, Information Technology, or Data Science
- Solid understanding of cloud computing concepts and familiarity with AWS services
- Proficiency in one or more programming languages such as Python, Java, or R
- Interest in data analytics, IoT ecosystems, and machine learning workflows
- Strong written and verbal communication skills in English, analytical thinking, and a proactive, self-driven mindset
- High motivation to learn and contribute to impactful corporate initiatives
Tasks
- Develop and deploy AWS IoT-based data logging pipelines
- Design and implement data processing workflows using AWS SageMaker
- Build interactive dashboards with AWS QuickSight
- Test and validate cloud solutions for scalability and reliability
- Collaborate with engineers and data scientists to define requirements
- Document technical workflows and system architectures
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- AWS IoT
- SageMaker
- QuickSight
- Python
- Java
- R
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Atotech Germany GmbH & Co. KG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Atotech Germany GmbH & Co. KG
Industry
IT
Description
The company drives the digital transformation of industrial systems through IoT technologies and data analytics.
Not a perfect match?
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