• Join the Amazon Payments Products
• Data Engineering team, where we build the data infrastructure powering Amazon's credit card businesses. Our team delivers data-driven solutions that impact millions of customers across Amazon's payment ecosystem. We're a high-performing team that consistently delivers while maintaining zero-defect standards through rigorous engineering practices. We're at the forefront of AI-first transformation, implementing cutting-edge automation solutions and next-generation data architectures that drive measurable productivity gains. Our work spans above and beyond the critical business areas such as customer acquisition, fraud detection, product recommendations, financial and executive reporting.

As a Data Engineer I, you'll work on high-impact projects (targeting millions of customers), large-scale customer acquisition initiatives, and fraud detection platforms. You'll collaborate with Product Managers, Data Scientists, Business Intelligence Engineers, UX Designers, Software Development Engineers, GMs, and other cross-functional engineering teams to solve complex data challenges at massive scale while driving innovation through AI-powered automation.

Key job responsibilities
Design, build, and optimize logical data models and data pipelines for complex datasets
Own ongoing data quality and create self-service access to datasets for business intelligence
Work on major portions of existing or new data architecture within the team
Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions
Write secure, stable, testable, and maintainable code with minimal defects
Apply appropriate data design approaches and make judicious trade-offs without over-engineering
Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure
Participate actively in code reviews, design discussions, and team planning
Mentor and train junior team members and new peers
Resolve root causes of complex problems and balance customer requirements with team needs
Stay current on distributed systems technologies (Map Reduce, MPP architectures, NoSQL databases)

A day in the life
As a DE I, you'll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the team's data architecture while maintaining high standards of operational excellence.

Basic Qualifications

• 1+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, Korn Shell)

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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