Validation Engineer: Data Flow & Automation

Advanced Micro Devices, Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices, Inc. is seeking an experienced Engineer to tackle data flow challenges from the System Under Test to the Cloud and back to engineers.

You will collaborate across automation, product engineering, and program management to provide structured execution for the Blueprint. The role emphasizes data automation, monitoring, and performance debugging while integrating outputs with multiple teams to improve product and process health.

Qualifications

• Proficiency in SQL, JSON, Python required.
• Experience with relational and NoSQL databases and BI tools.
• Knowledge of data flow pipelines and automation tools.

Responsibilities

• Be accountable for automated monitoring of data store health and readiness.
• Own data automation for the team, including generation, ingress, conversion, egress, report outs, and documentation.
• Optimize data processes and transformations to improve efficacy and efficiency of staff and compute resources.
• Engage with multi-functional leadership to integrate outputs with other project streams.
• Hands-on debugging to root cause performance and data flow delivery challenges; collaborate with peer teams.
• Assist multi-functional technical teams with targeted ad hoc analyses.
• Collaborate with specialists on program test and debug activities and process improvements.

Skills

SQL

JSON

Python

Education

Bachelor's or Master's degree

Tools

Looker

PowerBI

Sigma

Excel

GitHub

Nifi

ADF

Azure DevOps

Snowflake ELT

Job description

Advanced Micro Devices, Inc. is seeking an experienced Engineer to tackle data flow challenges from the System Under Test to the Cloud and back to engineers.

You will collaborate across automation, product engineering, and program management to provide structured execution for the Blueprint. The role emphasizes data automation, monitoring, and performance debugging while integrating outputs with multiple teams to improve product and process health.