Data Engineer II Partner Experience and Growth Amazon Ads
Data Engineer II Partner Experience and Growth Amazon Ads
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 118900 - 205600
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Amazon Worldwide Advertising is one of Amazons fastest growing and most profitable businesses. Partner Experience and Growth (PEG) organization leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers i.e. the advertisers.
As a Data Engineer you will provide technical leadership lead data engineering initiatives and build endtoend analytical solutions that are highly available scalable stable secure and costeffective. You strive for simplicity demonstrate creativity and sound judgement. You deliver data solutions that are customer focused easy to consume and create business impact.
Key job responsibilities
Design implement and operate largescale highvolume highperformance data structures for analytics and data science.
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.
Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture.
Collaborate with engineers to help adopt best practices in data system creation data integrity test design analysis validation and documentation.
Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization statistical analysis prediction clustering and machine learning.
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice modeling and production support for customers.
About the team
Data Engineering team focuses on helping other partner business teams to be a more data driven business. We synthesize data from various data sources into actionable information help the team to build the insights and take business decisions. We maintain partner data platform(Barnegat) and support end to end data engineering needs for our customers. Data engineering team customers include Analytics Science Finance Partner Trust Business Development Product and other Advertisement teams. Our core services are managing Data platform data pipelines to get data from various sources create scalable and reusable datasets and provide single source of truth for business metrics.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
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)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
As a Data Engineer you will provide technical leadership lead data engineering initiatives and build endtoend analytical solutions that are highly available scalable stable secure and costeffective. You strive for simplicity demonstrate creativity and sound judgement. You deliver data solutions that are customer focused easy to consume and create business impact.
Key job responsibilities
Design implement and operate largescale highvolume highperformance data structures for analytics and data science.
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.
Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture.
Collaborate with engineers to help adopt best practices in data system creation data integrity test design analysis validation and documentation.
Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization statistical analysis prediction clustering and machine learning.
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice modeling and production support for customers.
About the team
Data Engineering team focuses on helping other partner business teams to be a more data driven business. We synthesize data from various data sources into actionable information help the team to build the insights and take business decisions. We maintain partner data platform(Barnegat) and support end to end data engineering needs for our customers. Data engineering team customers include Analytics Science Finance Partner Trust Business Development Product and other Advertisement teams. Our core services are managing Data platform data pipelines to get data from various sources create scalable and reusable datasets and provide single source of truth for business metrics.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
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)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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