Join AWS Applied AI Solutions and contribute to innovative applications that leverage machine learning and cloud scalability. This role is part of the Amazon Go initiative, revolutionizing retail with checkout-free shopping experiences powered by Just Walk Out Technology. You'll work with cutting-edge technologies in vision, machine learning, and distributed systems.

Our team is dedicated to pushing the boundaries of what's possible in retail technology. We offer a dynamic environment where innovation is key, and we aim to be the most customer-centric company on Earth. If you're passionate about solving complex problems and making a real impact, this is the place for you.

As a Data Engineer II, you will be instrumental in addressing diverse technical challenges and guiding other engineers. Your role will involve translating business needs into actionable deliverables, creating rapid prototypes, and collaborating with technology leaders. You will be responsible for developing and deploying robust distributed pipelines that prioritize latency and accuracy, utilizing an optimal mix of technology stacks.

This position offers daily opportunities to tackle demanding situations and engage with various technical teams across Amazon. We seek individuals comfortable with significant ambiguity who thrive on problem-solving. Expect continuous learning, enjoyable work, and a chance to positively influence numerous customers.

We are seeking candidates with a minimum of 3 years of experience in data engineering, including a strong background in data modeling, warehousing, and building effective ETL pipelines.

Preferred qualifications include hands-on experience with AWS services such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM. Familiarity with various non-relational database types, including object storage, document or key-value stores, graph databases, and column-family databases, is also highly advantageous.