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Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
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Amazon • Bellevue, Washington, USA
Amazon is hiring a Senior Data Engineer for the AWS Data Center Bridge team to lead the design and implementation of data and analytics for an AI chat-bot. You'll work closely with Business Intelligence Engineers and Software Development Engineers, leveraging AWS tools to build scalable data processing systems.
You have 5+ years of experience as a Data Engineer, with a strong background in designing and implementing data processing systems. Your expertise in AWS is complemented by your ability to mentor junior engineers and set high-quality standards for data practices. You excel in communication, navigating complex technical discussions with various teams, and are comfortable working in a fast-paced environment.
Your experience includes building scalable data pipelines and ETL processes, ensuring that data infrastructure supports analytics projects effectively. You are knowledgeable about AI chat-bot implementations and understand the importance of robust data management in driving business intelligence. You thrive in ambiguous situations, demonstrating problem-solving skills and a proactive approach to innovation.
Familiarity with machine learning concepts and experience in collaborating with cross-functional teams will be advantageous. A background in software development can also enhance your contributions to the team.
As a Senior Data Engineer at Amazon, you will lead the design and construction of scalable data pipelines that support the AWS Data Center Bridge analytics projects. You will work closely with Business Intelligence Engineers and Software Development Engineers to ensure that the data infrastructure is robust and efficient. Your role will involve architecting and maintaining ETL processes that handle large volumes of data, ensuring data quality and accessibility for analytics.
You will also be responsible for mentoring junior engineers, sharing best practices, and fostering a culture of continuous improvement within the team. Your technical leadership will guide the team in adopting new technologies and methodologies that enhance data processing capabilities. You will engage in detailed discussions with technical teams, ensuring alignment on project goals and deliverables.
In addition to your technical responsibilities, you will contribute to the strategic direction of the DC Bridge team, identifying opportunities for innovation and improvement in data management practices. Your insights will help shape the future of data analytics within the organization, driving efficiency and effectiveness in data-driven decision-making.
At Amazon, you will be part of a dynamic team that values innovation and creativity. We offer competitive compensation packages, including equity and comprehensive benefits. You will have the opportunity to work on cutting-edge projects that impact the efficiency and sustainability of our data centers. Join us in shaping the future of data analytics and AI technology at Amazon.
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