Data Engineer, Ring AI at Amazon
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engineering
data warehousing
Ring is looking for a Data Engineer with the passion to drive the execution and ongoing support of critical data services and furthering governance practices and analytics. If you are passionate about data and technology, eager to seek challenging and innovative opportunities, and motivated to deliver the best customer experience, then this role is the right fit for you.
Key job responsibilities
As a Data Engineer, you will play a crucial role in designing, building, and maintaining data ingestion pipelines, ETL processes, and data warehousing solutions. Your responsibilities will include extracting data from various sources, transforming and loading it into centralized data repositories, and ensuring data quality and integrity throughout the process. You will be responsible for creating scalable data models, optimizing data warehouse performance, and implementing efficient data processing workflows.
You will implement comprehensive data quality checks, validation rules, and monitoring mechanisms to maintain data reliability and provide visibility into data quality metrics. Automation and scripting will be essential aspects of your role, as you will develop and maintain scripts for data engineering tasks and contribute to the development of reusable components and libraries. Collaboration with business intelligence engineers, data scientists, and other stakeholders will be crucial to understand data requirements and align data engineering efforts with business objectives.
You will stay up-to-date with the latest tools, technologies, and best practices through continuous learning and professional development.
Key job responsibilities
As a Data Engineer, you will play a crucial role in designing, building, and maintaining data ingestion pipelines, ETL processes, and data warehousing solutions. Your responsibilities will include extracting data from various sources, transforming and loading it into centralized data repositories, and ensuring data quality and integrity throughout the process. You will be responsible for creating scalable data models, optimizing data warehouse performance, and implementing efficient data processing workflows.
You will implement comprehensive data quality checks, validation rules, and monitoring mechanisms to maintain data reliability and provide visibility into data quality metrics. Automation and scripting will be essential aspects of your role, as you will develop and maintain scripts for data engineering tasks and contribute to the development of reusable components and libraries. Collaboration with business intelligence engineers, data scientists, and other stakeholders will be crucial to understand data requirements and align data engineering efforts with business objectives.
You will stay up-to-date with the latest tools, technologies, and best practices through continuous learning and professional development.