2H University Intern - Data Engineering

About GlobalFoundries 

GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com. 

Internship Program Overview:  

Our Interns are our talent pipeline for GF across the globe. Our goal is to provide students with meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you will experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives. 

Project Title:

Cloud Data Catalyst: Architecting High-Volume ETL & AWS Big Data Solutions

Project Objective:

This project offers a deep dive into Cloud Data Engineering, where students move beyond theory to build and optimize real-world data pipelines. Participants will work with a modern tech stack—AWS, PySpark, and Redshift—to design ETL frameworks, perform data modeling, and solve complex performance tuning issues for high-volume datasets. It is a comprehensive end-to-end experience in building the backbone of modern business intelligence.

Project Description:

This project aims to modernize and optimize the Cloud Data Warehouse (CDW) architecture by building scalable data pipelines and improving system performance.

The intern will work within a Big Data environment to translate business requirements into technical ETL (Extract, Transform, Load) solutions, ensuring high-speed data processing and reliable storage.

The solution will include:

- Scalable ETL Frameworks: Design and development of data pipelines using PySpark, Python, and AWS EMR

- Advanced Data Modeling: Creation of logical and physical schemas (ERDs) and documentation for Redshift/Postgres cloud databases

- Performance Optimization: Monitoring and tuning of complex SQL queries and database transactions to handle high-volume datasets

-Technical Documentation: Comprehensive mapping of data flows and problem-solving logs to ensure system sustainability

Project Outcome:

Intern:

- Master High-Demand Tech: Gain hands-on experience with industry-leading Big Data tools, including AWS (EMR/Redshift), PySpark, and Python

- End-to-End Data Engineering: Learn the full lifecycle of data warehousing, from initial schema design and modeling to building and deploying complex ETL frameworks.

- Professional Problem-Solving: Develop critical skills in performance tuning, technical documentation, and translating complex business needs into technical solutions.

Company:

- Optimized Data Infrastructure: Improve the efficiency and scalability of the Cloud Data Warehouse through modernized ETL pipelines and optimized schemas

- Enhanced System Performance: Reduce processing times and resource utilization by identifying and resolving bottlenecks in high-volume datasets

- Operational Sustainability: Strengthen the technical foundation with comprehensive data flow mapping and documentation, making future system maintenance and audits more efficient

Required Qualifications:

• Bachelor’s or Master’s in Computer Science/Computer Engineering/Information Technology or related field through an accredited degree program during the time of internship

Preferred Qualifications:

• Prior related internship or co-op experience

• Demonstrated prior leadership experience in the workplace, school projects, competitions and etc

• Project management skills, i.e., the ability to innovate and execute solutions that matter; the ability to navigate ambiguity

• Strong written and verbal communication skills

• Strong planning & organizational skills

• Familiarity with or academic exposure to AWS Services, Big Data concepts, PySpark, Python, and Cloud DB Redshift

• Data Warehousing Concepts: Foundational knowledge of data warehouse architecture, trends, and design approaches, including Dimensional Modeling and ERD design

• Documentation and Flow Mapping: Strong conceptual understanding with solid technical documentation skills, particularly the ability to document data flows within business processes

*This application is for students undertaking a 20-24 week credit-bearing internship from June 2026 onwards.

*Please indicate your internship period clearly in your CV/Resume/Cover Letter*

#InternshipGFSG2026

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia