Description

The Creators team goal is to make Amazon the Earth’s most desired destination for commerce influencers, associates (publishers, bloggers, and more) and their content. We are a team of innovators that tackle difficult problems, and are laser-focused on building and enhancing products and experiences that drive growth for Creators. The Creator Analytics and Data Engineering Team accelerates data-driven decision making and empowers the Creator organization and our customers. We provide intuitive solutions and scalable services that fuel strategies and insights, strengthen partnerships, propel cross-team progress, and move the business forward together on behalf of our customers.

We are seeking a proven and passionate Data Engineer with the unique opportunity to become a pivotal player in shaping the future of Amazon's Creator business. Immerse yourself in an environment primed for growth and innovation, where your technical expertise will be instrumental in supporting our expanding Creator 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 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 Operations team from the ground up, leveraging your deep understanding of data pipelines, model deployment, and monitoring. 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:

New York, NY, USA

Basic Qualifications

• 6+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• 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

Preferred Qualifications

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

• Experience operating large data warehouses

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.