Staff Data Engineer

Advanced Micro Devices, Inc • San Jose, CA

6h • Hybrid

About The Position

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:
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 Platform
THE PERSON:
You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently.

Requirements

• Deep hands-on experience with Hadoop and other big data platform
• DW development and maintenance, to include ETL (extraction, transformation, and loading) to support Enterprise Level Business Intelligence platforms such as SQL Analysis Services, Integration Services and Reporting Services
• Hands on experience with on-prem and cloud based big data platforms
• Experience in cloud technologies managing end to end subscription
• Scripting knowledge in Python with database experience on Postgres DB, MS SQL, MongoDB, MS Reporting Services is preferred
• Solid understanding of Enterprise applications development platform
• Familiar with Application Performance Monitoring and load performance test framework/tools
• Creative problem-solving style and strong critical thinking skills
• Strong written and verbal communication skills.
• Write clear, concise and comprehensive technical documentation

Responsibilities

• Administration and Management of Hadoop Big Data platform including knowledge of the service components HDFS, MapReduce, Yarn. HBase, Hive and Spark
• Data lake Support both on-prem and on cloud like ADLS
• Experience with Apache Iceberg
• Manage Data Integrity and Data Security for various big Data Platform
• Patching and vulnerability management and security best practices for Data platforms
• Enterprise Data Warehousing knowledge and support preferably Snowflake, Microsoft SQL Server and Databricks Lakehouse
• ETL tool knowledge using Microsoft SSIS, Databricks, Apache Airflow etc.
• Collaborate effectively with other technical teams to exploit new technologies to enhance the applications and service infrastructure.
• Managing Cloud Subscriptions on Azure, GCP and AWS

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees