Data Engineer, Amazon Payment Products
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Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
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Job Summary
Amazon Payment Products team creates and manages a global portfolio of products including co-branded credit cards installment financing third party redemptions and financial services marketplaces.
Within this team we are looking for a Data Engineer (DE) to play a significant role in building large-scale high-volume high-performance data integration and delivery services. These data solutions would be primarily used in periodic reporting and drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools modeling metadata building reports and dashboards and administering the platform software. You are expected to build efficient flexible extensible and scalable data models ETL designs and data integration services. You are required to support and manage growth of these data solutions. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.
Key job responsibilities
*Implement data ingestion routines both real time and batch using best practices in data modeling ETL/ELT processes by leveraging AWS technologies and big data tools.
*Design implement and operate large-scale high-volume high-performance data for analysis and data science.
*Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture.
*Collaborate with engineers/scientists to help adopt best practices in data system creation data integrity test design analysis validation and documentation
*Help continually improve ongoing reporting and analysis processes automating or simplifying self-service modeling and production support for customers.
- 3 years of data engineering experience
- 4 years of SQL experience
- Experience with data modeling warehousing and building ETL pipelines
- Bachelors degree
- 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)
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.
Within this team we are looking for a Data Engineer (DE) to play a significant role in building large-scale high-volume high-performance data integration and delivery services. These data solutions would be primarily used in periodic reporting and drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools modeling metadata building reports and dashboards and administering the platform software. You are expected to build efficient flexible extensible and scalable data models ETL designs and data integration services. You are required to support and manage growth of these data solutions. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.
Key job responsibilities
*Implement data ingestion routines both real time and batch using best practices in data modeling ETL/ELT processes by leveraging AWS technologies and big data tools.
*Design implement and operate large-scale high-volume high-performance data for analysis and data science.
*Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture.
*Collaborate with engineers/scientists to help adopt best practices in data system creation data integrity test design analysis validation and documentation
*Help continually improve ongoing reporting and analysis processes automating or simplifying self-service modeling and production support for customers.
- 3 years of data engineering experience
- 4 years of SQL experience
- Experience with data modeling warehousing and building ETL pipelines
- Bachelors degree
- 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)
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
About Company
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