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Form of work
Salary- 3+ years of Data Engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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
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:
Culver City, CA, USA | Los Angeles, CA, USA | New York, NY, USA | Seattle, WA, USA
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with partnering with scientists in productionalizing ML/AI models
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/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.
