At Amazon, we're working to be the most customer-centric company on earth. To get there, we need curious, thoughtful, and innovative people. Promotions are a key part of the Amazon flywheel: they bring excitement and value to customers, drive sales for selling partners, and grow Amazon's long-term free cash flow (LTFCF). Experimentation, automation and scalability are a core part of our mission statement. Our team vision is to create an ecosystem in which customers can find a wide range of compelling promotional discounts across Amazon, and selling partners can grow their businesses through creating attractive offers to customers.
We are seeking a proven and passionate Senior Data Engineer with the unique opportunity to become a pivotal player in shaping the future of Amazon's Consumer Promotions business. In this role, you will lead Data Engineering for WW Promotions by partnering with all key parts of Amazon's e-commerce business: Shopping, Selling Partners, Supply chain, Personalization, Pricing and Promotions. Immerse yourself in an environment primed for growth and innovation, where your technical expertise will be instrumental in supporting our expanding Promotion ecosystem.
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
- Building and scaling an analytical data infrastructure that provides self-service access to data and computing power for our business stakeholders
- Collaborating cross-functionally to develop and deploy advanced analytics algorithms that uncover valuable insights from our rich data sets, and translating them into impactful business solutions
- 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 innovation
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
We are seeking a proven and passionate Senior Data Engineer with the unique opportunity to become a pivotal player in shaping the future of Amazon's Consumer Promotions business. In this role, you will lead Data Engineering for WW Promotions by partnering with all key parts of Amazon's e-commerce business: Shopping, Selling Partners, Supply chain, Personalization, Pricing and Promotions. Immerse yourself in an environment primed for growth and innovation, where your technical expertise will be instrumental in supporting our expanding Promotion ecosystem.
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
- Building and scaling an analytical data infrastructure that provides self-service access to data and computing power for our business stakeholders
- Collaborating cross-functionally to develop and deploy advanced analytics algorithms that uncover valuable insights from our rich data sets, and translating them into impactful business solutions
- 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 innovation
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA