About The Position

As a developer in the Regulatory Reporting Technology team, you will be an integral part of the AMD Engineering Ecosystem, focusing on critical data and compliance functions. You will design and implement complex, scalable systems for regulatory data ingestion, transformation, and reporting. This includes developing and optimizing ETL processes, building Spark Refiners for data quality and aggregation, and managing enterprise-grade data warehouses. You will also participate in various projects and initiatives within Revenue Operations technology, ensuring the accuracy, integrity, and timely delivery of regulatory data.

Requirements

  • Master’s or bachelor’s degree in computer science or related Engineering Field
  • 3+ years of Java development and other programming languages with experience in Object Oriented Analysis, Design and testing best practices
  • Experience in building scalable and distributed platforms (AWS cloud technologies is a plus).
  • Knowledge in one or more SQL dialects.
  • Demonstrated experience with ETL processing, data warehousing concepts, and data pipeline development.
  • Proficiency with Apache Spark for data refining, transformation, and large-scale data processing.
  • Self-motivated with analytical mindset who can multi-task to solve interesting and difficult technical problems under time pressure and resource constraints
  • Experience with all stages of the development lifecycle: inception, analysis, design, review, testing, and deployment
  • Excellent written and verbal communication skills

Nice To Haves

  • A background in data intensive applications and Batch Process, especially within regulatory data aggregation or financial reporting.
  • Experience in AWS Cloud technologies, particularly services like S3, Redshift, Glue, or EMR.
  • Comfortable working in highly dynamic and rapid development environment (Agile development experience)
  • Working knowledge/experience in the financial or banking industry, with an understanding of regulatory reporting requirements (e.g., Dodd-Frank, Basel, MiFID II) and data governance principles.

Responsibilities

  • Design and implement complex, scalable systems for regulatory data ingestion, transformation, and reporting.
  • Develop and optimize ETL processes.
  • Build Spark Refiners for data quality and aggregation.
  • Manage enterprise-grade data warehouses.
  • Participate in various projects and initiatives within Revenue Operations technology, ensuring the accuracy, integrity, and timely delivery of regulatory data.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Associate degree

Number of Employees

5,001-10,000 employees

© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service