Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable.
Key responsibilities include:
- Design, implement, and support a platform providing secured access to large datasets.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Tune application and query performance using profiling tools and SQL.
- Analyze and solve problems at their root, stepping back to understand the broader context.
- Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use.
- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
- Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
Amazon offers a great work-life balance, mentorship opportunities, career growth, and an inclusive team culture. The company is committed to diversity and inclusion, with employee-led affinity groups and innovative benefit offerings.
The base pay for this position ranges from $118,900/year in the lowest geographic market up to $205,600/year in the highest geographic market, with additional compensation including equity, sign-on payments, and a full range of benefits.