Amazon Web Services is seeking an extraordinary Data Engineer to join the AWS Data Lake team. Our teams take on some of the hardest scalability, performance, and distributed computing challenges the world. We process trillions of events per month using stream processing techniques (Kinesis), process billions of line items via map reduce (EMR) and handle artifacts through the latest in database technologies (DynamoDB and Aurora). We process big data and provide tools for customers to interactively understand their bills. We also provide the analytics that let customers handle billions of dollars of IT usage and spending. Because we sit at the nexus of all AWS services and interact directly with end-customers, we also work closely across all AWS teams to ensure that we offer a great customer experience. The AWS Data Lake team's vision is to help customers handle the full life cycle of data at all levels of granularity, simplify data collection, integration, and aggregation of AWS data assets,
This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of meaningful employment experience. · 5+ years of work experience with ETL, Data Modeling, and Data Architecture. · Expert-level skills in writing and optimizing SQL. · Experience with Big Data technologies such as Hive/Spark. · Proficiency in one of the scripting languages - python, ruby, java or similar. · Experience operating very large data warehouses or data lakes. · Proven interpersonal skills and standout colleague. · A real passion for technology. We are looking for someone who is