Amazon Simple Storage Service (S3) is storage for the Internet. Through the use of pioneering techniques in distributed computing, developers are able to durably store their data on Amazon’s proven computing infrastructure to achieve virtually limitless storage capacity at minimal cost. Amazon S3 provides a simple interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, secure, fast, inexpensive infrastructure that Amazon uses to run its own global network of web sites. Managing and running a storage service at this scale requires a telemetry system that is constantly gather data from multiple sources, making sense of that data and allowing engineering and business to make proactive decisions that allow S3 to continue to delight its customers. This position is perfect for a data engineer who loves dealing with copious amounts of data, thrives in an environment with complex
· Bachelor's degree in statistics, engineering or other quantitative field · 7+ years Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets · Inquisitive mindset, with proven problem solving ability, and a passion for big data · Experience in relevant business domains, including data warehousing, data modeling, ETL development (understanding of relational databases, data modeling, data structures and architecture), and business