Data Engineer, AdsEcon at Amazon
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Finance
The AdsEcon Team is looking for a Data Engineer to help and be part of a team that puts cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in working with the latest big data technology (Spark, EMR, Glue, SageMaker, and Airflow) and collaborate with Economist and Applied Scientist in creating disruptive solutions for our multiple Advertising Businesses.
Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. Advertisers use Amazon Advertising to grow their businesses. Our team is on a mission to change how advertising campaigns are measured, so that advertisers can make most out of their investment in advertising. If we succeed, we will have a deep impact in Amazon.
Key job responsibilities
- Partnering with economists and senior team members in building an environment of large high-quality datasets
- Create and support AWS based data platforms that leverage diverse data sources across Amazon, that feed input to and serve output from machine learning / econometric models
- Help us move fasted by building fast prototypes that help us prove out our ideas
- Develop and extend reusable libraries for quickly rolling out new data pipelines
- Create and drive data governance strategies for disparate data sources across the company
- Create and review technical requirement and design documents, working backward from customer needs
- No On Call. Just focus on building
About the team
We are a central team of Economists, Data Scientists, and Engineers in GMAC Finance that focuses on the development of disruptive ideas for the Ads business. We also provide tactical support where we are uniquely positioned to do so because of our expertise or independence.
Our optimal failure rate is not zero. We try building hard things and sometimes we fail spectacularly. However, when we success, we have deep impact. We welcome curious minds, that are interested in learning and trying out new idea, even if they are crazy.
We like to keep things light-weight in terms of documentation and processes, so we can focus on building.
We are open to hiring candidates to work out of one of the following locations:
Los Angeles, CA, USA | New York, NY, USA | Seattle, WA, USA
Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. Advertisers use Amazon Advertising to grow their businesses. Our team is on a mission to change how advertising campaigns are measured, so that advertisers can make most out of their investment in advertising. If we succeed, we will have a deep impact in Amazon.
Key job responsibilities
- Partnering with economists and senior team members in building an environment of large high-quality datasets
- Create and support AWS based data platforms that leverage diverse data sources across Amazon, that feed input to and serve output from machine learning / econometric models
- Help us move fasted by building fast prototypes that help us prove out our ideas
- Develop and extend reusable libraries for quickly rolling out new data pipelines
- Create and drive data governance strategies for disparate data sources across the company
- Create and review technical requirement and design documents, working backward from customer needs
- No On Call. Just focus on building
About the team
We are a central team of Economists, Data Scientists, and Engineers in GMAC Finance that focuses on the development of disruptive ideas for the Ads business. We also provide tactical support where we are uniquely positioned to do so because of our expertise or independence.
Our optimal failure rate is not zero. We try building hard things and sometimes we fail spectacularly. However, when we success, we have deep impact. We welcome curious minds, that are interested in learning and trying out new idea, even if they are crazy.
We like to keep things light-weight in terms of documentation and processes, so we can focus on building.
We are open to hiring candidates to work out of one of the following locations:
Los Angeles, CA, USA | New York, NY, USA | Seattle, WA, USA