Amazon Sr Data Engineer WW Promotions 

United States, Washington, Seattle 

332772526

In this role you will collaborate closely with product, science, engineering, and business leaders to translate their strategic objectives into robust, future-proof data architectures. As a technical leader, you will own the evolution of our data platform, establishing best practices, exploring and experimenting with new technologies and driving efficiency across multiple teams. Equally important, you will nurture your passion for mentoring the next generation of data engineers and producing a culture of continuous learning and innovation. You will dive into the challenge of building an ML infrastructure and establish ML feature store collaborating with fellow software engineers. You will work to establish foundational building blocks that will seamlessly integrate with cutting-edge GenAI solutions, ensuring our partners have access to self-serve, actionable insights.
Key job responsibilities
- Designing, implementing, and maintaining a cutting-edge, cloud-based data infrastructure to support our large and complex data sets, ensuring high performance, availability, and integrity
- Developing and optimizing robust ETL pipelines with comprehensive monitoring, alarming, and data quality controls to seamlessly integrate diverse data sources
- Driving the adoption of emerging technologies, such as generative AI, and advocating for the latest data management best practices to elevate our capabilities
- Manage AWS resources, including exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency
- Mentoring junior data engineers and fostering a culture of continuous learning and innovationSeattle, WA, USA

- 6+ years of data engineering, database engineering, business intelligence or business analytics experience
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience mentoring team members on best practices
- Experience operating large data warehouses
- Strong Experience with data modeling, warehousing and building ETL pipelines

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR