It’s an exciting time to be on the Amazon Shopping Videos team. We have millions of videos that help customers shop every day.
These include product demos, customer reviews, buying guides, and how-to guides. How do we choose the right videos to show, to the right customer, at the right time, helping them make the right shopping decision? That’s where you come in.
Data is at the center of every product we develop as we create new features and products that serve the needs of our growing base of consumers and brands.
As a Data Engineer on the Amazon Video Shopping team, you will lead the design and implementation of systems capable of processing, storing and querying large datasets.
You will partner with product managers and engineers to help build and support data needs of partner teams, reporting solutions, machine learning systems and analytics.
About the team
Now more than ever, customers watch videos when they shop. Videos and livestreams make shopping easier and more fun, whether a customer is researching a product or tuning in to chat with their favorite content creator live.
The Amazon Shopping Video (ASV) team’s mission is to enable customers to find inspiration, information, entertainment, and community through videos at any point in their shopping journey.
If you are interested in building an entertainment product, enjoy a creative and fast-paced working environment, and want to work on a strategic new initiative, join our team today!
We are open to hiring candidates to work out of one of the following locations :
New York, NY, USA Seattle, WA, USA
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as : Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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