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Description

Amazon Freight is a startup business within Amazon focused on developing an industry-leading transportation offering to provide external freight Customers access to the world-class network and freight services currently used to facilitate Amazon’s own freight movements. Our freight offerings/portfolio ensures our Customer’s freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less-than-truckload, and intermodal. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.

As a Sr. Data Engineer in Amazon Freight Data Analytics team, you will
· Build robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
· Build and deliver high quality data architecture to support business intelligence engineer and program managers’ reporting needs.
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
· Drive both business and technology solutions to improve Amazon Inbound visibility.
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
· Translate data into actionable insights for the stakeholders.