Data Engineer

GlobalFoundries is looking for a highly motivated Data Engineer to join our team. Reporting to the Lead Data Engineer, you will design, develop, and optimize data architectures and pipelines while supporting cross-platform product development. This role involves close collaboration with data scientists, machine learning engineers, and solutions architects to deliver innovative data solutions aligned with business goals.

Key Responsibilities

• Design and maintain data pipelines adhering to ELT principles.
• Develop data solutions to boost the productivity of data scientists and software engineers.
• Lead the adoption of emerging data engineering tools and processes.
• Partner with cross-functional teams to design technical architectures for strategic projects.
• Promote data-sharing best practices and operational efficiency.
• Mentor data and analytics professionals on standards and practices.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2-4 years of experience as a Data Engineer in an agile environment.
• Proficiency in ELT, SQL, and Spark.
• Experience with cloud databases (e.g., AWS), data lakes, and data warehouses.
• Hands-on experience building and maintaining data pipelines using tools like Git and Jenkins.
• Familiarity with Linux OS and strong problem-solving skills.

Nice-to-Have Skills

• Master's degree in Computer Science or related field.
• Exposure to machine learning, AI, and data science concepts.
• Basic knowledge of BI tools like Tableau, Power BI, or Looker.
• Familiarity with containerization (e.g., Docker, Kubernetes).
• Experience with data streaming technologies like Apache Kafka or Spark Streaming.

Take the Next Step!

Ready to join a global leader in semiconductor manufacturing Apply Now and drive data innovation at GlobalFoundries!