Data Engineer

About GlobalFoundries

GlobalFoundries 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, GlobalFoundries 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.

Introduction:

As a Data Engineer, you will be reporting to the Lead Data Engineer and support problem-solving on any data platform and deliver robust recommendations to effectively store, secure, and manage data. You will assist the Lead Data Engineer in the development and adoption of cross-platform products/roadmap, recommend overall sizing of infrastructure for data and analytics platforms.

Your Job:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ELT (Extract, Load, Transform) principles and business goals.

• Create data solutions for data scientists and software engineers to accelerate their productivity.

• Lead the evaluation, implementation, and deployment of emerging tools and process for data engineering to improve productivity as a team and quality.

• Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.

• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency for data and analytical solutions.

• Advise, consult, mentor other data and analytic professionals on data standards and practices.

• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.

Other Responsibilities

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

Required Qualifications:

• Bachelor’s degree in computer science, statistics, engineering, or a related field

• Conceptual knowledge of data and analytics, such as dimensional modeling, reporting tools, data governance, and structured and unstructured data.

• Experience as a Data Engineer on a cross-functional agile team.

• Expertise in ELT, SQL and Spark.

• Experience with designing, transforming and maintaining data warehouses and/or data lakes

• Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space.

• Experience in building data pipelines and deploying/maintaining them with best-in-class software engineering practices (e.g., Git and Jenkins)

• Familiarity with the Linux operating system.

• Strong communication skills with ability to articulate the value of a design choice to users and stakeholders.

• Creative problem solving and analytical skills with ability to synthesize ideas into tangible solutions for design.

Good to have

• Masters in computer science or a related field

• Exposure in machine learning, data science, artificial intelligence, statistics, and/or applied mathematics

• Basic familiarity with BI tools (e.g. Alteryx, Tableau, Power BI, Looker)

• Experience with containerization (e.g. Docker, Kubernetes)

• Understanding of data streaming solutions using technologies like Apache Kafka, Apache Flink, or Apache Spark Streaming

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.