Amazon
Sr. Data Engineer, GO-AI Technology & Development Team
Amazon, Arlington, Virginia, United States, 22201
Sr. Data Engineer, GO-AI Technology & Development Team
Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team works with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI’s Technology & Development Team is a cross-functional team of Data Engineers, Software Developers, Technical Program Managers, and Business Intelligence Engineers who are responsible for the technical strategy and delivery for GO-AI.Key job responsibilities:Design, implement, and deploy GO-AI data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices.Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve GO-AI’s data architecture, making it better and easier to maintain.Minimum Requirements:5+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience mentoring team members on best practicesHave a solid understanding of data design approaches and how to best use themBachelor's degree in engineering, computer science or relevant fieldPreferred Qualifications:Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, FireHose, Lambda, IAM roles and permissions, Athena, RDS, DynamoDB, and AWS Elastic SearchExperience with relational and non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Experience coding in Python and TypeScriptExperience designing and operating large data warehousesExperience writing REST APIsExperience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutionsAmazon 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
here .
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Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team works with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI’s Technology & Development Team is a cross-functional team of Data Engineers, Software Developers, Technical Program Managers, and Business Intelligence Engineers who are responsible for the technical strategy and delivery for GO-AI.Key job responsibilities:Design, implement, and deploy GO-AI data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices.Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve GO-AI’s data architecture, making it better and easier to maintain.Minimum Requirements:5+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience mentoring team members on best practicesHave a solid understanding of data design approaches and how to best use themBachelor's degree in engineering, computer science or relevant fieldPreferred Qualifications:Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, FireHose, Lambda, IAM roles and permissions, Athena, RDS, DynamoDB, and AWS Elastic SearchExperience with relational and non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Experience coding in Python and TypeScriptExperience designing and operating large data warehousesExperience writing REST APIsExperience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutionsAmazon 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
here .
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