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Amazon Corporate LLC Data Engineer in Seattle, Washington

Amazon is one of the largest employers on the planet with hundreds of thousands of employees across the globe. Amazon's HR mission is to build a workplace for Amazonians to invent on behalf of our customers. We are enablers to help Amazon scale quickly and efficiently as we continue to expand rapidly across countries, business lines and size in general. The volume of internal human resource transactions and range of experiences to fulfill in this scale and diversity are massive and unique respectively. This requires a highly reliable, scalable and customized series of software applications that ensure our global employee base receives accurate, timely and best experiences throughout their employee lifecycle. Amazon has grown significantly since the deployment of these tools and we are now at an inflection point where we are making long term decisions to support our explosive global growth.Our Time and Attendance group is looking for a bright and motivated Data Engineer to launch timekeeping systems (including third party applications and Amazon custom tools) to support business expansions and deliver automations to achieve process efficiency and perfect pay for associates. You will be responsible for developing applications across the Human Resource technology stack, with the focus on Time and Attendance systems.Job Responsibilities:* Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.* Manage stakeholder communication, prioritization of tasks and on time solution delivery.* Build integrations between HR, Time and Attendance and Payroll systems to automate employee hire, schedule, punch and pay.* Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications.* Designs data integrations and data quality framework.* Develops and maintains scalable data pipelines and builds out new API integrations.* Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, and Oracle.* Implement ETL logic in Python.* Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.* Produce comprehensive, usable dataset documentation and metadata.* Design and develop operational and analytical reports as per the customer needs by using the tools.* Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers.* Evaluate and make decisions around the use of new or existing software products and tools.* Mentor junior data engineers.Basic Qualifications* 3+ 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* Bachelor's degree in Computer Science, Engineering, related technical field and 5 years' experience, or a Master's degree and 2 years of experience, or equivalent combination of education and experience.* 4+ years of industry experience in software development, data engineering, business intelligence, data science, or related field.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. For individuals with disabilities who would like to request an accommodation, please visit