Join GlobalFoundries as a Lead Data Engineer in Digital Manufacturing

About GlobalFoundries:

GlobalFoundries is a leading full-service semiconductor foundry with a global presence. We provide advanced design, development, and fabrication services to the world’s most innovative technology companies. With manufacturing facilities across three continents, GlobalFoundries empowers industries to shape their own markets through groundbreaking technologies. Discover more at .

Job Role Introduction:

As the Lead Data Engineer, you will report directly to the Analytics Center of Excellence (CoE) Manager. Your role involves leading problem-solving teams across a variety of database platforms, delivering effective recommendations on how to securely manage and optimize data storage and management. You'll also spearhead the development and adoption of cross-platform products and infrastructure sizing strategies for data and analytics platforms.

Key Responsibilities:

Your Job:

• Utilize advanced database features and concepts such as performance tuning effectively.
• Independently craft data products utilizing ETL (Extract, Transform, Load) concepts.
• Address infrastructure needs with innovative solutions for common data-related problems, such as low memory issues.
• Engage in root-cause analysis during programming errors and devise strategic solutions.
• Ensure the data engineering codebase is efficiently structured, well-documented, and fully optimized.
• Develop data requirements and exploratory analyses specific to the domain.
• Provide guidance on data quality assessments and exploratory analyses to other data engineers.
• Architect solutions on cloud platforms and build physical data models with minimal guidance.

Other Responsibilities:

Adhere to all company-enforced safety and security protocols to ensure a safe work environment.

Required Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Engineering, or related field.
• At least 10 years of experience in data science, machine learning, or similar roles within digital manufacturing or industrial applications.
• Expertise in ELT, data analysis, SQL, and programming languages like Pyspark or Python.
• Proven experience with cloud database technologies (e.g., AWS), data warehouses, and big data technologies like Snowflake.
• Strong understanding of AGILE methodologies and experience in a cross-functional agile team.

Preferred Qualifications:

• Master's degree in Data Science or a related field.

Equal Opportunity Employer:

GlobalFoundries champions diversity and inclusion, believing that a multicultural workplace fosters productivity and innovation. We are committed to providing equal employment opportunities regardless of one's background.

Successful candidates will be asked to provide proof of COVID-19 vaccination as per local laws and regulations before commencing work, to ensure the health and safety of all employees.

Benefits and Application:

Learn more about our benefits and perks at . If you are driven, detail-oriented, and wish to impact the future of technology, apply now to become a Lead Data Engineer at GlobalFoundries.

Company Name: GlobalFoundries

Job Title: Lead Data Engineer (Digital Manufacturing)