Sidney has been dedicated to engineering-relevant fields for over two decades. As an Assistant General Manager at Gamin, Taiwan, Sidney embodies qualities of enthusiasm, composure, and unwavering determination. His career journey has been extraordinary, marked by a continuous pursuit of innovation and excellence, after graduating from the Department of Naval Architecture and Ocean Engineering at National Taiwan University.
Sidney embarked on a fulfilling career at Garmin. He harnessed his strong technical background and superior structured thinking, allowing him to persistently lead Garmin's manufacturing and operations teams toward innovation.
WORK EXPERIENCE AND AWARDS
Garmin
Assistant General Manager, Asia-Pacific (2020–present)
Director of MFG Engineering Department, Taiwan (2015–2020)
Senior Manager of MFG Engineering Department, Taiwan (2015)
Manager of MFG Engineering Department, Taiwan (2010–2015)
Supervisor of MFG Process Support Department, Taiwan (2007–2010)
EDUCATIONAL BACKGROUND
Master in Electrical, Electronics, and Communications Engineering, University of Southern California, USA
Master in Naval Architecture and Ocean Engineering, National Taiwan University, Taiwan
Bachelor in Naval Architecture and Ocean Engineering, National Taiwan University, Taiwan
INSTRUCTION LANGUAGES
Mandarin
English
Job Positions
Information Technology Data Engineer Intern
1 Vacancy
Co-Supervisor Information
Eric LIN
林威廷
Institution
Garmin
Division/Department
Information Technology Data Team
Job Title
Director
Brief Introduction of the Department
【Information Technology Data Team】
The Information Technology Data Team at Garmin is responsible for building and maintaining our data infrastructure and data pipelines. Our core responsibilities include setting up on-premise data warehouses, developing extract, transform, and load (ETL) processes, ensuring data quality, and creating analytics dashboards. We are deeply committed to using data-driven insights to drive innovation and foster business growth
Department Staff Number
- More than 10 people
Internship Job Description
Data Engineering Interns will collaborate with the team of data analysts and business intelligence professionals to extract, transform, load, and analyze data to empower informed decision-making. Hands-on training will focus on developing ETL processes using SQL and Python to efficiently move data from source systems into the on-premise data warehouse solution. Interns will learn techniques for data validation, testing, auditing, and quality assurance to ensure high standards. Working alongside
data analysts, interns will assist with structuring and querying data to uncover meaningful insights. Creating compelling visualizations and dashboards using business intelligence tools to communicate data analysis results will provide impactful deliverables to stakeholders. This immersive traineeship will equip interns with practical skills across the data engineering spectrum, priming interns for ongoing career growth.
Preferred Intern Education Level
- Master students
Preferred Intern Skill Sets or Qualities
- Quick learner who can rapidly pick up new technical skills and concepts
- Comfortable working with data, analyzing datasets, and telling data stories
- Strong communication and collaboration skills to work closely with internal teams
- Ability to take initiative and be a self-starter in an autonomous role
- Knowledge of Python for writing ETL and data processing scripts
- Experience querying databases and manipulating data with SQL
- Understanding of data warehousing and ETL concepts
- Fundamental big data and distributed computing knowledge
- Working knowledge of Linux command line and administration
- Data visualization skills using tools like Tableau
- Familiarity with the Southeast region is preferred.
Others
- Upon the completion of the NTU International Mentorship Program, students may continue as interns for an additional 6 months at the discretion of the organization
- Salaries (subsidies) provided
- Benefits provided
Process Integration Data Engineer Intern
1 Vacancy
Co-Supervisor Information
Engine Huang
黃榮進
Institution
Garmin
Division/Department
Process Integration
Job Title
Manager
Brief Introduction of the Department
【Process Integration Data Engineering Department】
PI DE's data engineering course assists in planning, designing, building, and maintaining the Garmin TW Big Data platform, and building various batch or real-time data pipelines with distributed frameworks to help the company's users acquire the data they need.
Department Staff Number
- 5-10 people
Internship Job Description
- Data Service: Research Delta Lake technology and integrate it into the company's existing data warehouse pipelines.
- Data Infra: Migrate containers to K8S with Gitlab CICD pipeline.
Preferred Intern Education Level
- Master students
Preferred Intern Skill Sets or Qualities
- Programming Skills: Proficiency in at least one programming language, such as Java, Scala, or Python, for writing data processing and ETL (Extract, Transform, Load) code. - Data Processing Tools: Familiarity with data processing tools and frameworks like
Apache Spark, Hadoop, Flink, and others.
- Database Design: Understanding of database design principles to support data storage and retrieval requirements.
- Basic Linux Usage Experience
- Container Skills: Docker, K8S, and Git Usage Experiences
- Team Collaboration: Ability to effectively collaborate with team members to solve data engineering-related challenges.
- Problem Solving: Capability to solve complex problems and debug data pipelines.
- Familiarity with the Southeast region is preferred.
Others
- Upon the completion of the NTU International Mentorship Program, students may continue as interns for an additional 6 months at the discretion of the organization.
- Salaries (subsidies) provided.
- Benefits provided.
Process Integration MES Engineer Intern
1 Vacancy
Co-Supervisor Information
Engine HUANG
黃榮進
Institution
Garmin
Division/Department
Process Integration MES Department
Job Title
Manager
Brief Introduction of the Department
【Process Integration MES Department】
MES (Manufacturing Execution System) helps manage and oversee various production tasks like scheduling, resource management, quality control, and data analysis. This system is like the glue that holds the manufacturing process together, making sure everything runs smoothly and efficiently. MES connects different production stages, ensuring they work in harmony and share important information. It collects and records data to provide valuable insights for decision-making. It is cost-efficient , improves resource use, shortens waiting times, and keeps customers happy.
In a nutshell, MES is a must-have in modern manufacturing, making things transparent, efficient, and competitive. It blends tech with production, giving businesses an edge in today's fast-paced market
Department Staff Number
- More than 10 people
Internship Job Description
As an MES Engineer Intern in Garmin, Interns are required to study how Garmin's MES system works in their factory, its strengths, and challenges, and suggest improvements.
By using these methods:
- Reviewing documents to learn about MES systems.
- Visiting Garmin's factory to see how MES works and talking to people there.
- Analyzing data to check if MES is working well and what problems it has.
- Summarize findings and give suggestions to make Garmin's MES system better.
Preferred Intern Education Level
- Master students
Preferred Intern Skill Sets or Qualities
- Curiosity and eagerness to learn.
- Strong work ethic.
- Adaptability and initiative-taking.
- Effective communication.
- Collaboration within a team.
- Enthusiasm for tackling new challenges.
- Basic understanding of databases
- Understanding of the software development lifecycle
- Ability to perform unit testing and integration testing.
- Proficiency in Software Tools, including web APIs and flowcharting.
- Familiar with the Southeast region is preferred.
Others
- Upon the completion of the NTU International Mentorship Program, students may continue as interns for an additional 6 months at the discretion of the organization.
- Salaries (subsidies) provided.
- Benefits provided.