Data Engineer II, Amazon Payment Products
Share
Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
As a Data Engineer II 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 II 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.
- 3 years of data engineering experience
- 4 years of SQL experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with at least one programming language (Python Java Scala).
- Proven ability to work with large-scale datasets and optimize performance
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with big data frameworks: Spark Hadoop Hive.
- Knowledge of non-relational databases (DynamoDB document stores graph databases)
- Experience with real-time/streaming data architectures (Kafka Kinesis Flink)
- Familiarity with CI/CD pipelines and infrastructure-as-code
- Bachelors degree in Computer Science Engineering or related technical field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 132100.00 - 178800.00 USD annually
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
