As a Data Engineer within AB Ops, you will build and operate data systems that support one of the world’s most complex and rapidly scaling B2B supply chains. You will work daily with large-scale distributed datasets, AWS technologies such as Redshift, and cross-functional teams to ensure that our data is accurate, timely, compliant, and ready to power high-impact decisions across Amazon Business.
- Design, build, and maintain reliable, scalable, and efficient data pipelines supporting critical reporting mechanisms such as the Weekly Business Review (WBR) and Product/Program metrics.
- Support compliance-related data processes (e.g., DMA, OD3) and ensure that all data systems and pipelines adhere to Amazon’s regulatory and security standards.
- Manage and optimize AWS data infrastructure, including Redshift clusters, S3 data lakes, ETL jobs, and orchestration tools, ensuring high performance and cost efficiency.
- Develop robust data quality framework to continuously monitor, validate, and improve the accuracy, completeness, and timeliness of all data delivered to stakeholders.
- Implement best practices for data modeling, code quality, CI/CD, and monitoring to maintain a stable long-term architecture and reduce operational load.
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Bachelor's degree in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline
- Knowledge of AWS Infrastructure
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
