Data Engineer II, Amazon Payment Products
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Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Amazon is seeking a talented Data Engineer II to join our this role you will design build and optimize data infrastructure that enables data-driven decision making across the organization. Youll work autonomously on complex data challenges while collaborating with cross-functional teams to deliver high-quality data solutions.
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 AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience building data pipelines and ETL processes for large language models (LLMs) and generative AI applications
- Knowledge of vector databases and embeddings for semantic search and GenAI applications
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.
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 AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience building data pipelines and ETL processes for large language models (LLMs) and generative AI applications
- Knowledge of vector databases and embeddings for semantic search and GenAI applications
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.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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