Over the past 20 years Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative BusinesstoBusiness (B2B) online store in the world.
Our B2B customers have different needs than the traditional Amazon customer so we are reinventing everything from how we display our selection price our products and provide business friendly credit solutions.
We are building scalable systems that make datadriven credit decisions and manage our risk. We are looking for a talented and passionate data professional that can develop a reliable scalable and analytic infrastructure to drive customer acquisition and track portfolio performance as we expand into new countries and customer segments. A successful candidate will be innovative technically versatile and be able to interact with customers to gather requirements and deliver the right set of data to support business growth.
3 years of data engineering experience Experience with data modeling warehousing and building ETL pipelines
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases) 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
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.
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