Data Engineer, Internal Audit Data Analytics
Amazon.com
Internal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience.
Amazon is seeking a Data Engineer for our Internal Audit Data Analytics team to provide data analytics services and solutions to enable our audit programs to scale with Amazon’s growth and complexity. This is an opportunity to provide custom-build solutions and services that will increase the productivity of Amazon’s audit function using data.
In this role, you will be a technical expert with a scope that spans all of Amazon’s Consumer businesses, Amazon Web Services, and Amazon subsidiaries. You will work closely with the engineers , scientists, and auditors in our organization to improve resiliency and quality of the data in our environment. You will be an expert in sourcing semi-structured and complex data types and normalizing them into a consumable data models that are accessible to business users. Our team maintains an infrastructure that supports changing data needs. This requires data engineering problem solving to build high quality, reliable, accurate, consistent, and architecturally sound data solutions that are aligned with our business objectives.
Key job responsibilities
Data Engineers spend their days balancing customer requests and operational excellence. This data engineering role will work to add new data to the data lake, make existing data more useful, and support infrastructure projects. Data Engineers are expected to be on the team's oncall rotation where pressing issues can be addressed.
A day in the life
Data Engineers spend their days balancing customer requests, operational excellence, and making improvements to the core infrastructure. This data engineering role will work to add new data to the data lake, make existing
About the team
Internal Audit's Data Analytics team has 3 core subgroups: Data Engineering, Data Science, and Audit Support. This role will be within the Data Engineering subteam but will frequently work with other individuals within Internal Audit. The Data Engineering team's primary tech stack is based on AWS with a large focus on a Redshift centric Data Lake.
Amazon is seeking a Data Engineer for our Internal Audit Data Analytics team to provide data analytics services and solutions to enable our audit programs to scale with Amazon’s growth and complexity. This is an opportunity to provide custom-build solutions and services that will increase the productivity of Amazon’s audit function using data.
In this role, you will be a technical expert with a scope that spans all of Amazon’s Consumer businesses, Amazon Web Services, and Amazon subsidiaries. You will work closely with the engineers , scientists, and auditors in our organization to improve resiliency and quality of the data in our environment. You will be an expert in sourcing semi-structured and complex data types and normalizing them into a consumable data models that are accessible to business users. Our team maintains an infrastructure that supports changing data needs. This requires data engineering problem solving to build high quality, reliable, accurate, consistent, and architecturally sound data solutions that are aligned with our business objectives.
Key job responsibilities
Data Engineers spend their days balancing customer requests and operational excellence. This data engineering role will work to add new data to the data lake, make existing data more useful, and support infrastructure projects. Data Engineers are expected to be on the team's oncall rotation where pressing issues can be addressed.
A day in the life
Data Engineers spend their days balancing customer requests, operational excellence, and making improvements to the core infrastructure. This data engineering role will work to add new data to the data lake, make existing
About the team
Internal Audit's Data Analytics team has 3 core subgroups: Data Engineering, Data Science, and Audit Support. This role will be within the Data Engineering subteam but will frequently work with other individuals within Internal Audit. The Data Engineering team's primary tech stack is based on AWS with a large focus on a Redshift centric Data Lake.
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