Senior Data Engineer, SCOT Inventory Buying

Business/Team Introduction
The Buying team is part of Amazon’s Supply Chain Optimization Technology / Inventory Planning and Control organization, and is responsible for deciding how much inventory to carry of every single item offered by Amazon Retail on all of Amazon’s websites worldwide. Consuming inputs including demand forecasts, placement options, and vendor capability data, our buying system automatically computes the optimal inventory levels and re-order quantities for every single item in our Retail catalog every single day. As a Sr Data Engineer in Buying, you will operate at the apex of multiple advanced Amazon systems, getting global visibility of how Amazon functions and serves our customers. Your curious mind will enable the creation of solutions that drive ever-greater automation, scalability and optimization of every aspect of buying, removing cost and delivering speed of execution to thrill our customers. The impact of your work will be global, material and remarkable. The ideal candidate will have excellent problem investigation abilities, and the ability to synthesize data into crisp and clear recommendations for scientists and product leaders. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business needs. In the role, you will work closely with scientists, product managers and software engineers to build out infrastructure, data pipelines, and reporting mechanisms for our team. Our Data Engineer duties & responsibilities will include:
• Design and deliver big data architectures for experimental and production consumption between scientists and software engineering
• Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and notification systems.
• Create automated alarming and dashboards to monitor data integrity.
• Create and manage capacity and performance plans.
• Act as the subject matter expert for the data structure and usage.

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

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.


Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.