You will work on a structured engineering project to improve workflow efficiency, data analysis and information management for solid-state drive product development and manufacturing. You will study existing engineering processes and build practical digital solutions such as data pipelines, scripts or dashboards. You will work with product engineers, data engineers and other stakeholders to define requirements, validate solutions and gather feedback. You will also document your work and present your approach, results and recommendations to stakeholders.
Requirements
Experience with Python programming and data analysis concepts
Knowledge of SQL, Power BI, Tableau or similar data analytics and visualisation tools
Strong analytical, problem-solving and communication skills
Able to learn independently and collaborate in cross-functional teams
Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, Electrical Engineering, Information Systems, Artificial Intelligence or a related technical field
Able to commit to a full-time internship of 5 months
Benefits
Hands-on exposure to solid-state drive product engineering and semiconductor manufacturing
Experience in engineering data analysis, workflow automation and dashboard development
Apply software development and problem-solving to a real-world engineering project
Learn how cross-functional engineering teams define requirements, validate solutions and measure outcomes
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