Factory Information System Intern

The Programme

Our Seagate Thailand Factory builds Hard disk Drive.  
 
We are IT, Factory Information System (FIS) department supporting factories to build the system control and do factory data engineering which build, collect, manage raw data store in our database for analysis and control the quality or integrating data visualization for image processing.  
 
We develop software supporting factories to improve the performance of factory processes.

What You Will Do

• Understand the basics of Seagate factory process flow. 
• Understand data type and file movement. 
• System design and database design. 
• Software development including Frontend and Backend. 
• Create reports, visualization, and dashboard on programming project specifications, activities, or status. 
• Develop Unit Testing of code components or complete applications. 
• Coordinate with other departments or customers on the projects.

Required Skills and Abilities

• Bachelor's degree in Computer Sciences or related degree. 
• Basic Computer skills and MS tools. 
• Experiences in Windows, Linux, VM, Docker, K8S 
• Data Analysis, Statistics and Programming skills ex. .NET, JavaScript, Python, C#, C++. 
• The desire to work in a fast-paced environment.

Your experience includes:

• Creativity is always a plus. 
• Effective communication in English.

About Us:

With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.  
 
We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth. 
 
Seagate is powered by our talented, passionate, and diverse workforce of 40,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike. 
 
Join us and get inspired to make a difference in the datasphere!