Selling Partner Identity Verification is looking for a Support Engineer to execute jointly with our Data Engineering team on our data strategy and long term architecture plan. Our data stores support 2 organizations and 7 fraud programs across those organizations. We are looking for someone who can drive best practices identify root causes and propose solutions for the regular operational concerns of our data strategy.
Key job responsibilities Be a technical lead on the team and act as a subject matter expert on the data we consume and what we need it for Identify and drive opportunities to simplify our data stack Identify and resolve root causes that reduce our teams operational burden Reduce our need to invest in tactical operational issue resolution by migrating our data to a sustainable strategic architecture Work independently to identify and resolve support related issues as they are discovered Assist Business Analysts and other business related data roles in supporting their use cases within our data stack
A day in the life A support engineer in Selling Partner Identity Verification will spend their day identifying recurring operational issues proposing solutions to partners and stakeholders and then implementing those solutions. The engineer will spend time executing on and driving our team towards delivering on our tactical strategy for data management.
About the team Here at Selling Partner Services we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employeeled affinity groups reaching 10000 employees in chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our DEI Ambassador Program. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
4 years of software development or 4 years of technical support experience Experience scripting in modern program languages Experience troubleshooting and debugging technical systems Experience in agile/scrum or related collaborative workflow Experience troubleshooting and documenting findings
Knowledge of distributed applications/enterprise applications Knowledge of UNIX/Linux operating system Experience analyzing and troubleshooting RESTful web API calls Experience operating highly available distributed systems of data extraction ingestion and processing of large data sets
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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