Amazon Senior Data Engineer Shopbop 

United States, Wisconsin, Madison 

693586146

The Shopbop Data Engineering team has 3 engineers and 8 contractors who source, clean, and host Shopbop's data mart. You will be a senior advisor to the team providing your expertise at standups, code reviews, and design reviews. You will represent the team in technical meetings. You will also act as an auditor and contributor to technical discussions that cross the Amazon Fashion & Fitness organization partnering closely with Senior Engineers, BIEs, Principal Engineers and Principal Data Scientists. You will have access to a coaching and mentoring program that provides access to experts across Amazon. We are looking for a candidate willing to be in person at a Shopbop location in Madison WI, or New York, NY weekly, but working virtually most of the time with partners across all US Timezones. Expect 1-2/year travel to Madison WI, New York NY, or Seattle WA.
Key job responsibilities
You will be the key decision maker for the architecture of Shopbop’s ETL processes, making sure we produce reliable, accurate, timely data for our customers. You will be the leader in deciding what patterns, practices, and approaches the DE team uses to develop their systems. You will drive the quality bar on the team by inventing new components and processes, using code reviews to drive best practices, and advocating for time to invest in the right Operational Excellence investments for the team. You will coach outside the team as well, advising peer Software teams to provide accurate data. You will act as an advisor to Shopbop Technology at org-wide operations reviews, in technical deep dives, and in review project plans. You will bring data expertise to other groups, but also act as a general expert.A day in the life

- 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

- Experience operating large data warehouses
- Master's degree
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions