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.
Join AMD as a Data Analytics Engineer and become part of a team that is shaping the future of data-driven decision-making. In this role, you will design and build scalable data pipelines, implement advanced analytics solutions, and leverage AI-driven tools to transform raw data into actionable insights. You’ll collaborate with product engineering teams and business stakeholders, working in a fast-paced environment that values innovation and continuous learning. This is an opportunity to work with cutting-edge technologies like Snowflake, DBT, and AI-powered analytics platforms, while contributing to AMD’s mission of advancing computing experiences globally.
You are a detail-oriented, analytical thinker who thrives on solving complex data challenges. You have strong communication skills and enjoy collaborating across teams to deliver impactful solutions. Adaptability, curiosity, and a passion for leveraging technology to uncover insights are key traits for success in this role. You are proactive, organized, and capable of balancing multiple priorities while maintaining a focus on quality and innovation.
• Design, develop, and maintain robust data pipelines and ETL processes, championing data modeling using DBT.
• Implement data models and structures in Snowflake for efficient data retrieval and analysis.
• Collaborate with engineering teams and business stakeholders to understand requirements and deliver analytics solutions.
• Develop and optimize SQL queries and scripts for data extraction and transformation.
• Ensure data quality and integrity through validation and cleansing processes.
• Create and maintain documentation for data processes, models, and analytics solutions.
• Monitor and troubleshoot data pipelines and analytics systems for optimal performance.
• Utilize visualization and AI-driven analytics tools (Power BI, ThoughtSpot, etc.) to enable natural language data interaction.
• Stay current with industry trends, AI-driven tools, and semantic modeling techniques.
• Proficiency in SQL and relational databases (e.g., MsSQL, Oracle).
• Experience with Snowflake and data warehousing solutions.
• Familiarity with ETL/ELT platforms (DBT, Informatica) and data catalog tools (Lightup, Alation).
• Strong programming skills in Python or R for data manipulation and analysis.
• Knowledge of AI-driven analytics platforms, semantic modeling, and NLP techniques.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and AI model deployment.
• Understanding of data governance and security best practices.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field preferred.
• Master’s degree is a plus.
