Amazon is looking for an exceptional data engineer to help them develop new ways to build trust and loyalty with sellers, a crucial component of their flywheel. Sellers' trust in Amazon is their top priority and in this role, the candidate will be tasked with building that trust over time by building and maintaining the data sources that power all of their decision making.
Requirements
- Advanced proficiency in SQL, ETL management, data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Responsibilities
- Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
- Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, re-usability, and quality across systems.
- Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.
- Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.
- Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).
- Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.
- Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.
Other
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline
- 7+ years of relevant work experience in data engineering, business intelligence or related field
- Strong critical thinking skills and attention to detail
- The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market.
