Join GlobalFoundries as a Data Engineer

About GlobalFoundries

GlobalFoundries is a leading semiconductor foundry that offers a unique blend of design, development, and fabrication services to some of the world's top technology companies. With manufacturing facilities on three continents, GlobalFoundries enables advanced technologies and systems that transform industries and empower clients to dominate their markets. For more details, visit .

Job Overview

As a Data Engineer, you will report to the Lead Data Engineer and provide support in problem-solving across various database platforms. Your role includes delivering robust data management recommendations and assisting in the development of cross-platform data products and infrastructure sizing for analytics.

Key Responsibilities

• Design, develop, optimize, and maintain data architecture and pipelines adhering to ELT principles and business goals.
• Solve complex data problems to provide insights that help businesses achieve their objectives.
• Create data products for engineers, analysts, and data scientists to boost their productivity.
• Collaborate closely with data scientists and business teams to engineer effective modeling features.
• Lead the evaluation, implementation, and deployment of new tools and processes in analytics data engineering to enhance team productivity and quality.
• Partner with machine learning engineers, BI specialists, and solutions architects to develop technical architectures for strategic projects.
• Foster a culture of sharing, reusing, designing for scale stability, and operational efficiency in data and analytics solutions.
• Advise, mentor, and coach other data and analytics professionals on data standards and best practices.
• Develop and deliver communication and educational plans on analytic data engineering capabilities, standards, and processes.
• Stay updated with knowledge in machine learning, data science, computer vision, artificial intelligence, statistics, and applied mathematics to perform the role effectively.

Other Responsibilities

• Perform all activities safely and responsibly, supporting all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications

• Bachelor’s degree in computer science, statistics, engineering, or a related field.
• Minimum of 2 years of experience in data science, machine learning, or related roles, particularly in digital manufacturing or industrial applications.
• Expertise in ELT, data analysis, SQL, and at least one programming language (e.g., Pyspark, Python).
• Conceptual knowledge of data and analytics, including dimensional modeling, reporting tools, data governance, and structured and unstructured data.
• Strong understanding of agile methodologies and experience as a Data Engineer on a cross-functional agile team is preferred.
• Experience in designing and maintaining data warehouses or data lakes with tools like Snowflake.
• Proficiency in cloud database technologies (e.g., AWS) and developing data and analytics solutions on cloud platforms.
• Experience with containerization and managing pipelines and microservices (e.g., Docker, Kubernetes).
• Experience in building and maintaining data pipelines using best-in-class tools (e.g., Git, Jenkins).
• Exposure to machine learning, data science, artificial intelligence, statistics, and applied mathematics.
• Familiarity with Linux operating systems and basic experience with BI tools (e.g., Alteryx, Tableau, Power BI, Looker).
• Focused on agile delivery with a "fail-fast" and succeed-early mindset and measurable outcomes.
• Strong communication skills with the ability to articulate design choices to users and stakeholders.
• Creative problem-solving and analytical skills with the ability to translate ideas into tangible design solutions.
• An iterative design approach, with a strong sense of ownership and user-centric advocacy.
• Highly detail-oriented, a team player, and user-centric.

Preferred Qualifications

• Master’s degree in data science or a related field.

Join Us

GlobalFoundries is an equal opportunity employer dedicated to building a diverse and inclusive workforce. We believe that a multicultural workplace enhances productivity, efficiency, and innovation, making employees feel valued and respected. As an affirmative employer, all qualified applicants are