Amazon is investing heavily in building a world class Advertising business, and the Advertising Sales Tech team is at the head of this growth machine by enabling our Sales teams to deliver at scale. Our goal is to accelerate manually intensive sales operations by investing in strategic self-service applications that accelerate productivity of external advertising customers and internal sales executives. If executed correctly, we will provide large scale automation of decision making in advertising.
The WorldWide Advertising Success Engineering (WASE) team is looking for a motivated Data Engineer who can build end-to-end data infrastructure. You will work with business and technology teams to develop scalable and innovative solutions that source terabytes of data, both batch and streaming, transform it into data structures relevant for making daily financial and product decisions, and expose it using tools that drive insights and actions. We're a fast-growing team with a very high focus from business to grow, so there are lots of opportunities. No chance of getting bored here.
You will be successful in this role if you are :
* Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. * Technically fearless: You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries. Your dial goes to '11'. * Team obsessed: You help grow your team members to achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. * Humbitious: You're ambitious, yet humble. You recognize that there's always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. * Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you're quick to identify any gaps in the team and the right person to fill them to best deliver value to customers.
In this role you will:
* Partner with engineering, product, business and finance teams to create data pipelines and structures that provide key metrics and performance indicators. * Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. * Be responsible for operation of data infrastructure and quality of data sets. * Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.