Staff Data Engineer

Position Overview

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.

Role: We are seeking an expert Data Engineer who can design, develop, and maintain some of the most impactful Enterprise-wide Big Data and Data Analytics platforms.

Candidate Profile: You are a highly motivated team player with a strong development background, a problem-solving mentality, excellent communication skills, and the ability to prioritize tasks along with a willingness to learn and adapt. You also demonstrate excellent teamwork skills and are capable of working independently.

Location: San Jose, CA

Key Responsibilities

• Administration and management of the Hadoop Big Data platform including knowledge of the service components HDFS, MapReduce, Yarn, HBase, Hive, and Spark.
• Support for data lakes both on-premises and in the cloud (e.g., ADLS).
• Experience with Apache Iceberg.
• Manage data integrity and data security for various big data platforms.
• Patching, vulnerability management, and implementation of security best practices for data platforms.
• Enterprise data warehousing knowledge and support, preferably with Snowflake, Microsoft SQL Server, and Databricks Lakehouse.
• ETL tool expertise using Microsoft SSIS, Databricks, Apache Airflow, etc.
• Collaborate effectively with other technical teams to adopt new technologies that enhance applications and service infrastructure.
• Manage cloud subscriptions on Azure, GCP, and AWS.

Required Qualifications

• Highly motivated team player with a strong development background, a problem-solving mentality, and excellent communication skills.
• Ability to prioritize tasks with a willingness to learn and adapt.
• Excellent teamwork skills and the capability to work independently.
• Education: Bachelor’s/Master’s degree in Computer Science or a related field strongly preferred

Preferred Qualifications

• Deep hands-on experience with Hadoop and other big data platforms.
• Experience in data warehouse development and maintenance, including ETL processes to support enterprise-level business intelligence platforms such as SQL Analysis Services, Integration Services, and Reporting Services.
• Hands-on experience with both on-premises and cloud-based big data platforms.
• Expertise in managing cloud technologies and end-to-end subscription management.
• Scripting experience in Python and working with databases such as Postgres, MS SQL, MongoDB, and MS Reporting Services.
• Solid understanding of enterprise application development platforms.
• Familiarity with application performance monitoring and load performance testing tools/frameworks.
• Creative problem-solving skills with a strong critical thinking ability.
• Strong written and verbal communication skills, with the ability to write clear, concise, and comprehensive technical documentation.

Benefits & Perks

• Benefits: AMD benefits at a glance