Data Engineer - AIM

Job Description

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast Wondered where it came from and how much it cost Amazon If so, the Amazon Global Supply Chain Optimization Technology organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotSCOTs Automated Inventory Management (AIM) team is seeking talented individuals who enjoy the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful business decisions. AIM teams owns Availability metrics that measures & improves the key customer experience on product availability. We regularly work directly with executive leadership to improve that experience.As a Senior Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. You will also work with a team of Product Managers, Data Scientists, and Software Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, production pipelines, automate anomaly detection model, ML data models, implement new data pipelines that feed into or from critical data systems at Amazon.Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, build data warehousing solutions that are explainable and scalable. In addition to the technical skills, a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.Our diversity, measured by thought, gender and culture, is paramount to our ability to meet the evolving needs of our customers. Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation., 5+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Experience in SQL Master s Degree in Data Engineering, Applied Data Science, Data and Web Science, or related certification Proven track record of applying data engineering for enabling business analytics (Procurement, Operations, Finance, etc.) Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations Implement standardized, automated operational processes to deliver accurate and timely data for reporting to meet or exceed SLAs Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy Experience providing technical leadership and mentoring other Data Engineers for best practices on data engineering Experience working directly with remote technical teams

Keyskills :
supply chainsqlpythondata sciencedata modelingsenior managementjavadata engineeringcoding standardsdata warehousingtechnical skillssupply chain optimizationdata modelsinformaticadata extraction