Description
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
This position will be within a central organization and tasked with designing, establishing, and maintaining the architecture necessary for Client, Graphics, and Semi-Custom teams to efficiently manage and leverage their data resources.
THE PERSON:
We are seeking a highly skilled Data Engineer with strong capabilities to join our team at AMD. This individual should also possess a strategic mindset to envision the long-term data architecture roadmap for various groups within the company. They will be capable of aligning data solutions with business goals, anticipating future data needs, and designing scalable architectures that support growth and innovation.
The ideal candidate will be involved in the day-to-day implementation of data engineering solutions, able to prototype, lead other data engineers, mentor junior engineers, and coordinate with stakeholders to ensure that projects are delivered on time, within budget, and according to specifications.
KEY RESPONSIBILITIES:
Collaborating with stakeholders to gather data requirements and define data and analytics solutions.
Evaluating and selecting appropriate technologies and tools for data storage, processing, and analytics
Implementing data integration, ETL processes, ML, and data pipelines to ensure efficient data movement and transformation.
Designing and implementing data architectures, including data models, databases, data warehouses, data lakes, and data lake houses.
Assist customer teams with analytics, including creating reports, building dashboards, and implementing machine learning pipelines.
Monitoring data performance, troubleshooting issues, and optimizing data processes for efficiency and scalability.
PREFERRED EXPERIENCE:
5+ years of relevant experience in data management, database design, data modeling, and data architecture, preferably within the semiconductor industry or related high-tech sectors.
Hands-on experience with a variety of ETL tools, and database/warehousing/integration tools like Snowflake, Databricks, NiFi.
Proficiency in PySpark/ Scala, SQL & Python.
Hands-on expertise in Sigma Reporting and Power BI for dashboard development and data visualization.
Experience with Infrastructure-As-Code and CI/CD automation.
Experience with cloud platforms (Azure, etc.) and modern data architecture.
Experience with machine learning concepts, MLOps tools and technologies is beneficial.
Fluent English (written and spoken) with excellent communication skills and the ability to collaborate effectively with semi-conductor engineers, data scientists, and business stakeholders.
ACADEMIC CREDENTIALS:
Bachelor's or Master's degree in Computer Science or Engineering preferred
LOCATION:
Shanghai
#LI-VC1
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
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