Job Location: Seattle, WA
- 3+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
4+ years of professional software development experience
3+ years of programming experience with at least one modern language such as Python, Java, C++, or C# including object-oriented design
2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Computer Science fundamentals in object-oriented design
Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
Job summary
**We are open to hiring this role into Palo Alto CA, New York NY, or Austin TX!**
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, while helping consumers discover new products and services. Our ad solutions—including video, audio, digital display, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.
Key job responsibilities
The team is seeking an experienced backend data engineer, who will own backend data pipelines, indexing systems and service & API layer application support. The aggregated data powers machine learning models and dashboards that help internal stakeholders and customers take appropriate actions. To be successful in this role, you will need to have a passion for data analytics, cloud technologies and have a track record of working with large scale structured and unstructured data sets.
About the team
Ad Forecasting Insights and Optimization team builds end-to-end solutions including data pipelines, machine learning models, large scale data structures and indexes, advertiser recommendations (bids, products) and data visualizations. We match supply (ad opportunities) and demand (advertiser’s interests) in thousands audience segments, optimize advertiser spend and suggest prices.
· Experience with large-scale data processing and management frameworks such as Apache Spark
. Knowledge of AWS redshift, lambda, step-functions or Apache airflow
· Experience in database technologies such as MySQL, RDS and Redshift
· BA, MS or equivalent degrees in Computer Science or related field desired
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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