Data Engineer I, Amazon Payment Products
Department:
Job Summary
As a Data Engineer I youll work on high-impact projects (targeting millions of customers) large-scale customer acquisition initiatives and fraud detection platforms. Youll 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 (MapReduce MPP architectures NoSQL databases)
A day in the life
As a DE I youll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the teams data architecture while maintaining high standards of operational excellence.
About the team
Amazon Payment Data team empowers Amazon Payments through strategic data solutions. We design and implement enterprise data warehousing and business intelligence platforms that transform raw data into actionable insights. Our team manages the critical infrastructure powering payment analytics while partnering with stakeholders to deliver training support and scalable data solutions that drive decision-making across Amazons global payment products.
- 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 KornShell)
- 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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Required Experience:
IC
About Company
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