Data Engineer, Stores Customer Service

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.DescriptionWe need your help to ensure that the voice of the customer comes through in data-driven Customer Experience Impact (CXI) metrics. As a Data Engineer, you will partner with Software Developers, Business Intelligence Engineers, Scientists, and Program Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data. As the ideal candidate, you will have a strong business judgment, a good sense of architectural design, written/documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, +Other AWS technologies). This role involves both overseeing existing pipelines as well as developing brand new ones for machine learning (ML). The operating environment is fast paced and dynamic with a supportive culture. To thrive, you must be detail oriented, enthusiastic, and insist on high standards. In return, you will gain tremendous experience with the latest in big data technologies and science models.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!About The TeamWorldwide Defect Elimination (WWDE) is an organization within Amazon Customer Service (CS) that innovates with technology to remove friction in connecting organizations to customer experiences. Our vision is to be the ultimate steward representing the “empty chair,” empowering CS and Amazon teams to easily measure, listen, and act on customer feedback, ultimately provide defect-free customer experience. This key role is part of the team that broadly supports the defect detection (Voice of Customer or VoC), root cause identification and resolving (Andon Cord), to re-gain customer trust (Concession). We support these services with a combination of engineering and science.Basic Qualifications3+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesBachelor's degreePreferred QualificationsExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Master's degreeAmazon 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 .This position will remain posted until filled. Applicants should apply via our internal or external career site.

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