Data Engineer II, Amazon Payment Products
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Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
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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.
- Bachelors degree in computer science engineering mathematics or equivalent or Bachelors degree
- 3 years of data engineering experience
- Experience in one or more scripting languages (e.g. Python Ruby Perl)
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- 3 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Experience that includes strong analytical skills attention to detail and effective communication abilities or experience in web security and experience demonstrating software engineering skills in a previous intership work experience coding competitions or publications
- Knowledge of distributed multi-tiered systems algorithms and relational databases
- Experience with big data processing technology (e.g. Hadoop or ApacheSpark) data warehouse technical architecture infrastructure components ETL and reporting/analytic tools and environments
- Experience including building and maintaining data flows and pipelines
- Experience in AWS services
- Experience designing large-scale systems and applications
- Knowledge of data structures data modeling and database schema
- Experience building strategic relationships with stakeholders including communicating and collaborating across teams and functions
- Experience in mentoring leading or managing more junior engineers
- 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.
- Bachelors degree in computer science engineering mathematics or equivalent or Bachelors degree
- 3 years of data engineering experience
- Experience in one or more scripting languages (e.g. Python Ruby Perl)
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- 3 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Experience that includes strong analytical skills attention to detail and effective communication abilities or experience in web security and experience demonstrating software engineering skills in a previous intership work experience coding competitions or publications
- Knowledge of distributed multi-tiered systems algorithms and relational databases
- Experience with big data processing technology (e.g. Hadoop or ApacheSpark) data warehouse technical architecture infrastructure components ETL and reporting/analytic tools and environments
- Experience including building and maintaining data flows and pipelines
- Experience in AWS services
- Experience designing large-scale systems and applications
- Knowledge of data structures data modeling and database schema
- Experience building strategic relationships with stakeholders including communicating and collaborating across teams and functions
- Experience in mentoring leading or managing more junior engineers
- 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 Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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