Data Analytics Engineer

Data Analytics Engineer – AMD Join to apply for the Data Analytics Engineer role at AMD . Get AI-powered advice on this job and more exclusive features. This range is provided by AMD. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. What You Do At AMD 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. The Role 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. The Person 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. Key Responsibilities 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. Preferred Experience 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. Academic Credentials Bachelor’s degree in Computer Science, Data Science, Engineering, or related field preferred. Master’s degree is a plus. 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. #J-18808-Ljbffr