Amazon Data Engineer JWO Tech 

United States, Washington, Seattle 

34461250

The AWS Just Walk Out Tech organization is seeking a talented Data Engineer to join our team. In this role, you will play a critical part in designing, building, and maintaining scalable data pipelines and architectures that power the Analytics our innovative checkout-free shopping experience. You will work with both internal data and external Retailer-facing reports, ensuring the efficient and reliable flow of data across various systems.Key job responsibilities
- Design, develop, and maintain high-performance, fault-tolerant data pipelines that process and transform large volumes of structured and unstructured data from multiple sources.
- Implement automated data ingestion, transformation, and loading processes using industry-standard tools and technologies.
- Ensure data quality, integrity, and consistency across the entire data lifecycle.
- Collaborate with fellow Data Engineers, cross-functional stakeholders, including Researchers, Customer Success Managers, Software & ML Engineers, Product Managers, and Technical Program Managers, to define and implement robust data architectures that support Just Walk Out's business requirements.- Design and maintain efficient data models for analytical and operational purposes, considering scalability, performance, and data integration requirements.
- Implement robust monitoring and alerting systems to ensure the health and performance of data pipelines and infrastructure.
- Identify and resolve data-related issues, bottlenecks, and inefficiencies, continuously optimizing data processes and systems.
- Provide technical guidance and mentorship to junior engineers, fostering knowledge sharing and continuous learning.
- Document data architectures, pipelines, and processes to ensure maintainability and knowledge transfer.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines