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申请人

Amazon.com is seeking an outstanding Data Engineer to join the Inventory Planning and Control (IPC) Optimal Inventory Health (OIH) team. OIH team is responsible for managing Amazon’s inventory health by helping Amazon efficiently identify and remove its unhealthy inventory stock and in turn optimizing the usage of limited Fulfillment Center’s resources and capacity. If you join OIH team you will have an opportunity to work in one of the world’s largest and most complex data warehouse environments and help build data acquisition pipeline. In addition, you will be responsible for developing business facing metrics that will be used by internal retail, finance and operational users to understand the inventory situation as well as view different slices of the data.

You will be responsible for designing and implementing a catalytic environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards. You will also work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.

• Basic Qualifications
We’re looking for Data Engineer who has a passion for data and a passion for supplying their clients with that data. You love working with analytic tools, providing a comprehensive platform for customers to access their data; understanding your customers’ challenges, you can partner with customers to invent great solutions, and you are an advocate for your customers. You are analytical and creative. You should also have the following skills or experiences:
• 5+ years of working with large data sets and analyzing data to identify patterns/correlations.
• 5+ years of SQL, Oracle database, data warehousing experience.
• 5+ years of BI reporting tool experience. Tableau and Excel is preferred.

• Preferred Qualifications
• Hands-on experience with Tableau, should have set up infrastructure, worked on the repository and developed complex front end reports.
• Strong customer focus, ownership, urgency and drive. Excellent communication skills and the ability to work well in a team.
• Highly analytical, troubleshooting and problem-solving skills.
• Familiarity with common statistical methods and tools.

Please send your latest CV to ls4@amazon.com.