DESCRIPTION

Amazon Advertising is seeking a Data Engineer to help us accelerate our efforts in delivering technology and insights capabilities for the Marketing Finance team.

This role will influence the direction of the business by translating broad business problems into specific analytics projects, building and maintaining data pipelines, datasets, conducting quantitative analyses, and communicating results effectively. This individual will help drive scalable robust management of datasets and pipelines to assist Business and Finance leadership with decision-making. As a key data engineering partner, this candidate will have significant exposure to Advertising Finance Managers, and require partnership with a broad set of teams including finance, product, sales, operations, and technology. We see a high potential for growth in the role as we transform our data into actionable insights to continue to fuel the growth of our business partners.

The successful candidate will have a top analytical mind capable of understanding our complex ecosystem of advertisers, and be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to take on technically challenging projects and delivering results is a must.


Key job responsibilities
- Building data pipelines using SQL, Scala, PySpark & Python
- Working with AWS BigData technologies such as Glue, S3, Redshift
- Building solutions that monitor the quality of data in our pipelines (including anomaly detection)
- Working with customers to understand the business context of new features
- Participating in design reviews and consulting with engineering peers
- Participating in operational support for our products, and drive reliability and process improvements
- Optimizing the performance of pipelines using metrics
- Designing and implementing complex pipelines and other Data Engineering solutions.