Aws Service
Data Engineer, AWS Fintech
Aws Service, Seattle, Washington, us, 98127
Amazon Web Services (AWS) is focused on building a highly scalable data platform that supports the growth of AWS itself. The role involves developing data architecture and tools that facilitate self-service data analytics, playing a critical part in AWS Finance BI. The position requires ownership of the end-to-end development of data engineering solutions that address complex business questions. The successful candidate will work collaboratively with various teams to improve reporting processes and automate support for customers.Required Qualifications and Skills
The role requires a Bachelor's degree and at least one year of data engineering experience. Candidates should have experience in data modeling, building ETL pipelines, and query languages such as SQL or PL/SQL. Familiarity with scripting languages like Python is also necessary. Additionally, experience with AWS technologies and ETL tools is preferred.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
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The role requires a Bachelor's degree and at least one year of data engineering experience. Candidates should have experience in data modeling, building ETL pipelines, and query languages such as SQL or PL/SQL. Familiarity with scripting languages like Python is also necessary. Additionally, experience with AWS technologies and ETL tools is preferred.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
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