We're building the next generation of data platforms, ML feature stores and analytical solutions that power pricing and promotions across Amazon.com. As a Data Engineer on our team, you'll architect and develop scalable solutions that impact millions of customers and billions in revenue. If you're excited by complex technical challenges and want to work at unprecedented scale, we want to talk to you.
Join our Pricing & Promotions Science, Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's annual worldwide revenue of billions of dollars.
Key job responsibilities
- Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow
- Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools
- Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions
- Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code
- Mentor junior engineers and share your knowledge of data engineering best practices
- Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions
About the team
The Pricing and Promotions Science Data and Insights Org strives to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science and analytics systems. We facilitate making trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts, and think holistically, from sourcing to CX, and all customer journey touch points in between.
