Sr.DataEngineer

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. 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our