Big Data Engineer, Chronicle

Impact: Amazon offers the Earth's biggest selection while managing to offer lower prices daily to customers. Our retail business teams work with numerous vendors and business financial performance metrics to expand selection and reduce costs. This requires quick analysis of vendors, categories, and brands, diving deep into data showing business efficiency down to the unit sale level. The technology enabling this is critical to Amazon's profitability and growth.

Innovation: We're working on the future, seeking an environment where you can drive innovation. If you want to apply state-of-the-art software technologies to solve real-world problems and provide visible benefits to end-users in a fast-paced environment, this is your opportunity. The role will be key in shaping the future of Amazon Retail and transforming our business practices.

Opportunity: You'll join a team of creative, top-notch software developers to work hard, have fun, and make history. At Amazon, software engineers are more than order takers; they see problems and leverage innovative technology to address them. You'll work with very large data sets, beyond the scalability limits of conventional relational databases. We're looking for people who innovate, love solving hard problems, and never take "no" for an answer.

The role involves working with massive data sets and requires experience in data engineering, modeling, warehousing, and building ETL pipelines. Proficiency in SQL, Python, and AWS big data technologies (e.g., EMR, AWS Glue) is essential. Experience with various AWS technologies and non-relational databases is preferred.

Amazon offers a competitive compensation package, including base pay ranging from $118,900 to $205,600 per year, depending on the geographic market and other factors. The company also provides equity, sign-on payments, and a full range of medical, financial, and other benefits.

Amazon is committed to diversity and inclusion, providing equal opportunities regardless of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.