Data Engineer, Amazon Customer Service Job at California Jobs in Santa Clara

Overview Do you want to be on the forefront of the next BIG thing in data? Want to take a leading role in how Amazon approaches Customer Service? Are you skilled at helping provide customers a comprehensive platform to access their data? If this excites you, then keep reading. Amazon Customer Service - D 2 AS (Devices, Digital and Alexa Support) is looking for an experienced, self-driven Data Engineer. In this role, you will be navigating one of the world's largest and most complex data environments. You should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in the creation and management of datasets, and the proven ability to translate the data into meaningful insights through collaboration with business analysts, business intelligence engineers, and research scientists. The D 2 AS vision is to create innovative support experiences for customers of Amazons devices and digital prod...Data Engineer, Customer Service, Engineer, Data Scientist, AWS, Business Analyst, Technology Notice Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000. Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility. An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000. Responsibilities Contribute to navigating one of the world\'s largest and most complex data environments. Work with disparate datasets and bring data together to answer business questions. Collaborate with business analysts, business intelligence engineers, and research scientists to translate data into meaningful insights. Qualifications Deep expertise in the creation and management of datasets. Proven ability to translate data into meaningful insights through collaboration. #J-18808-Ljbffr