SMTS IT Engineer

Advanced Micro Devices, Inc•San Jose, CA

1d•Onsite

About The Position

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward. Xilinx, Inc., a subsidiary of AMD, Inc., is hiring SMTS IT Engineer to Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Plan, conduct, and direct the analysis of business problems with automated systems solutions. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Manage Kafka producer and spark consumer on a very large scale. Design and implement Flink and Spark-based ETL flow. Optimize and scale Iceberg Lakehouse. Manage Data Integrity and Data Security for various big Data Platforms. Enterprise Data Warehousing scalability using Snowflake, Dremio, and Databricks Lakehouse. Collaborate effectively with other technical teams to exploit new technologies to enhance the applications and service infrastructure. Manage highly scalable on-prem and cloud environment in Azure, GCP and AWS. Contribute to the development, testing, evaluation or design of system or infrastructure architecture used throughout the IT solution set. Apply knowledge of engineering principles, best practices, and technologies to the design, development, and testing of various company products.

Requirements

Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, or related field and four (4) years of experience in the job offered or a closely related engineering or technology lead role.
Alternatively, a Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, or related field and six (6) years of progressive post-baccalaureate experience in the job offered or a closely related engineering or technology lead role.
Performing software verification
Unix or Linux environments
Object-Oriented Design
Memory management and multi-threading
Git
Apache Spark and Hadoop
MapReduce

Nice To Haves

Manage Kafka producer and spark consumer on a very large scale.
Design and implement Flink and Spark-based ETL flow.
Optimize and scale Iceberg Lakehouse.
Enterprise Data Warehousing scalability using Snowflake, Dremio, and Databricks Lakehouse.
Manage highly scalable on-prem and cloud environment in Azure, GCP and AWS.

Responsibilities

Design strategies for enterprise databases, data warehouse systems, and multidimensional networks.
Set standards for database operations, programming, query processes, and security.
Plan, conduct, and direct the analysis of business problems with automated systems solutions.
Model, design, and construct large relational databases or data warehouses.
Create and optimize data models for warehouse infrastructure and workflow.
Manage Kafka producer and spark consumer on a very large scale.
Design and implement Flink and Spark-based ETL flow.
Optimize and scale Iceberg Lakehouse.
Manage Data Integrity and Data Security for various big Data Platforms.
Enterprise Data Warehousing scalability using Snowflake, Dremio, and Databricks Lakehouse.
Collaborate effectively with other technical teams to exploit new technologies to enhance the applications and service infrastructure.
Manage highly scalable on-prem and cloud environment in Azure, GCP and AWS.
Contribute to the development, testing, evaluation or design of system or infrastructure architecture used throughout the IT solution set.
Apply knowledge of engineering principles, best practices, and technologies to the design, development, and testing of various company products.