Data Engineer, WW Installments Customer Experience

Job summaryWW Installments is one of the fastest growing businesses within Amazon and we are looking for a Data Engineer to join the team. This group has been entrusted with a massive charter that will impact every customer that visits Amazon.com. We are building the next generation of features and payment products that maximize customer enablement in a simple, transparent, and customer obsessed way. Through these products, we will deliver value directly to Amazon customers improving the shopping experience for hundreds of millions of customers worldwide. Our mission is to delight our customers by building payment experiences and financial services that are trusted, valued, and easy to use from anywhere in any way. As the Data Engineer within WW Installments, you will be responsible for designing and implementing data pipelines to support machine learning and business teams. This core capability is fundamental to the success of the business. You will have high visibility across Amazon businesses and leadership. Key job responsibilitiesThis role will be responsible for:• Build the Worldwide Installments Customer Experience Analytics data platform that will be used by teams worldwide to access reporting, deep dives, and installment related insights.• Build data pipelines to support customer facing machine learning algorithms and data science teams. • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.• Design, implement, and maintain production data pipelines including DQ, SLA, and data agreements across data, ML, and partner teams. • Continually improve the reporting and analysis pipeline, automating and simplifying whenever possible, and enabling self-service support for stakeholders. • Engage business stakeholders in constructive dialogues to convert business problems into data pipeline logic. Identifying new opportunities to influence business strategy and product vision using data.• Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications. Partner with fellow Data/Applied Scientists to implement scalable, automated infrastructure for data extraction, processing, computation, and delivery. • Learn new technology and techniques to support product and process innovation.• Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy.