MTS Data Engineer/Database Expert

at  Advanced Micro Devices Inc

PREFERRED EXPERIENCE:

• Experience with object-oriented/object function scripting languages: Python, Java, R, etc.
• Experience with Azure, DevOps, dbt
• Experience with AI/machine learning
• Familiarity with data analytics tools and techniques is a plus (e.g., Python, R, machine learning).
• Knowledge of Businesses Intelligence

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
Responsibilities:

THE ROLE:

We are looking for a savvy Data Engineer/Database Expert to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

KEY RESPONSIBILITIES:

• Design and implement database solutions to support data analytics requirements, ensuring scalability, performance, and reliability.
• Optimize database performance through indexing, query optimization, and other tuning techniques.
• Develop and maintain data models, schemas, and database documentation.
• Collaborate with cross-functional teams to understand data requirements and implement appropriate database solutions.
• Implement data security and compliance measures to protect sensitive information.
• Troubleshoot database issues and perform root cause analysis.
• Stay current with industry trends and best practices in database technologies and data analytics.
• Prepare data for prescriptive and predictive modeling.
• Work with stakeholders including the Executive, Product, Data and other teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts and product teams to strive for greater functionality in our data systems.