Data Engineer II eCS Data Engineering and Analytics
Data Engineer II eCS Data Engineering and Analytics
Posted on :
07-04-2025
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1 Vacancy
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Job Description
Are you passionate about data and code Does the prospect of dealing with missioncritical data excite you Do you want to build data engineering solutions that process a broad range of business and customer data Do you want to continuously improve the systems that enable annual worldwide revenue of hundreds of billions of dollars If so then the eCommerce Services (eCS) team is for you!
In eCommerce Services (eCS) we build systems that span the full range of eCommerce functionality from Privacy Identity Purchase Experience and Ordering to Shipping Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle starting from account creation and sign in to placing items in the shopping cart proceeding through checkout order processing managing order history and postfulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure available performant and reliable shopping experience to Amazons customers.
The goal of the eCS Data Engineering and Analytics team is to provide high quality ontime reports to Amazon business teams enabling them to expand globally at scale. Our team has a direct impact on retail CX a key component that runs our Amazon fly wheel.
As a Data Engineer you will own the architecture of DW solutions for the Enterprise using multiple platforms. You would have the opportunity to lead the design creation and management of extremely large datasets working backwards from business use cases. You will use your strong business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on daytoday decision making.
Key job responsibilities
Develop data products infrastructure and data pipelines leveraging AWS services (such as Redshift Kinesis EMR Lambda etc. and internal BDT tools (DataNet Cradle Quick Sight etc.
Improve existing solutions and come up with next generation Data Architecture to improve scale quality timeliness coverage monitoring and security.
Develop new data models and end to data pipelines.
Create and implement Data Governance strategy for mitigating privacy and security risks.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Bachelors degree
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily 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.
In eCommerce Services (eCS) we build systems that span the full range of eCommerce functionality from Privacy Identity Purchase Experience and Ordering to Shipping Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle starting from account creation and sign in to placing items in the shopping cart proceeding through checkout order processing managing order history and postfulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure available performant and reliable shopping experience to Amazons customers.
The goal of the eCS Data Engineering and Analytics team is to provide high quality ontime reports to Amazon business teams enabling them to expand globally at scale. Our team has a direct impact on retail CX a key component that runs our Amazon fly wheel.
As a Data Engineer you will own the architecture of DW solutions for the Enterprise using multiple platforms. You would have the opportunity to lead the design creation and management of extremely large datasets working backwards from business use cases. You will use your strong business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on daytoday decision making.
Key job responsibilities
Develop data products infrastructure and data pipelines leveraging AWS services (such as Redshift Kinesis EMR Lambda etc. and internal BDT tools (DataNet Cradle Quick Sight etc.
Improve existing solutions and come up with next generation Data Architecture to improve scale quality timeliness coverage monitoring and security.
Develop new data models and end to data pipelines.
Create and implement Data Governance strategy for mitigating privacy and security risks.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Bachelors degree
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily 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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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