Data Engineer, Conversational Shopping Data Engineering

DESCRIPTION Do you want to reinvent shopping on Amazon? With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse, helping busy customers easily find low-regret products that meet their in-the-moment need. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop.


As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments using latest set of toolsets. We help product teams at Alexa Shopping build the future of shopping by providing metrics on new features and help them perform A/B testing which will act as feedback loop for voice user experience. Our team is responsible for mission critical analytical reports and metrics that are viewed at the highest levels in the organization. We are also working on near real time analytics using the latest set of tools for data visualization and investing in Big Data technologies. You should have deep expertise in the design, creation, management, and business use of extremely large datasets.
The role offers a unique opportunity to build a new set of analytical experiences from the ground up. You should be highly analytical, have excellent communication skills, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Above all you should be passionate about working with large data sets and someone who loves to bring datasets together to answer business questions and drive change.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA BASIC QUALIFICATIONS - 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)