Amazon's Davengers team is seeking a Data Engineer II to join their innovative data platform initiative. This role sits at the intersection of business intelligence and machine learning, offering a unique opportunity to work with cutting-edge AWS technologies while building scalable data solutions. You'll collaborate with software developers, machine learning scientists, and business stakeholders to design and implement analytical infrastructure that powers both BI reporting and ML applications.
The position involves managing critical AWS resources, building sophisticated ETL pipelines, and implementing advanced analytics algorithms. You'll work closely with applied scientists to create data pipelines for machine learning models, while also partnering with Product Managers and Business Analysts to establish best practices in reporting and analysis.
This is an excellent opportunity for a data professional who wants to work at scale with AWS technologies like Redshift, EMR, and Spark, while contributing to a platform that drives both business insights and machine learning applications. The role offers exposure to the latest AWS technologies and the chance to work with rich datasets for statistical analysis, prediction, and clustering.
As part of Amazon's team, you'll benefit from working with world-class talent and have the opportunity to shape the future of data infrastructure that serves multiple business functions. The position requires strong technical skills in SQL and data engineering, combined with the ability to collaborate across teams and disciplines.