Sr Data Engineer Partner Analytics
Sr Data Engineer Partner Analytics
Posted on :
17-03-2025
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1 Vacancy
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Job Description
As a Senior Data Engineer in the Global Partner Development org you will provide technical leadership lead data engineering initiatives and build endtoend analytical solutions that are highly available scalable stable secure and costeffective. This role requires deep technical expertise combined with business acumen to build data pipelines from various data sources to enable Generative AI analytics solutions for our organization.
Key job responsibilities
As a Senior Data Engineer you will
Design and implement data pipelines that will be used by Business Intelligence Engineers and Data Scientists for driving business insights and building ML models.
Own the technical architecture of our BI and Data platforms.
Use AWS technologies such as Redshift Spectrum S3 EC2 AWS Glue etc. to optimize storage and compute resources for data infrastructure management.
Work with the biggest Data Lakes in Amazon to publish the data for our partner teams and consume the data building analytical pipelines.
Work closely with closely with Business Intelligence Engineers Data Scientists and Software Developers to gather data requirements and build data pipelines and datasets to meet business needs.
Own and support the management of our Redshift Cluster and QuickSight infrastructure.
About the team
The Partner Analytics team is a part of Global Partner Development org that drives partner innovation as a force multiplier to accelerate revenue and advertiser success for all ad products.
We make the partner and advertiser data and insights accessible to our stakeholders via scaled selfservice mechanisms. We build automated data pipelines and business intelligence capabilities for our stakeholders to enable strategic business development motions across all partners including Independent Agencies Tech Providers and Big 6 Agencies. Our stakeholder teams include the Business Development Ads Product teams Sales Finance Ads Marketing and LCS and GGS teams within the Ad Sales org.
5 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience mentoring team members on best practices
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
7 years of data engineering database engineering business intelligence or business analytics experience
Masters degree
Knowledge of software engineering best practices across the development lifecycle including agile methodologies coding standards code reviews source management etc.
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 https://amazon.jobs/content/en/howwehire/accommodations 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 $139100/year in our lowest geographic market up to $240500/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 https://www.aboutamazon/workplace/employeebenefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
As a Senior Data Engineer you will
Design and implement data pipelines that will be used by Business Intelligence Engineers and Data Scientists for driving business insights and building ML models.
Own the technical architecture of our BI and Data platforms.
Use AWS technologies such as Redshift Spectrum S3 EC2 AWS Glue etc. to optimize storage and compute resources for data infrastructure management.
Work with the biggest Data Lakes in Amazon to publish the data for our partner teams and consume the data building analytical pipelines.
Work closely with closely with Business Intelligence Engineers Data Scientists and Software Developers to gather data requirements and build data pipelines and datasets to meet business needs.
Own and support the management of our Redshift Cluster and QuickSight infrastructure.
About the team
The Partner Analytics team is a part of Global Partner Development org that drives partner innovation as a force multiplier to accelerate revenue and advertiser success for all ad products.
We make the partner and advertiser data and insights accessible to our stakeholders via scaled selfservice mechanisms. We build automated data pipelines and business intelligence capabilities for our stakeholders to enable strategic business development motions across all partners including Independent Agencies Tech Providers and Big 6 Agencies. Our stakeholder teams include the Business Development Ads Product teams Sales Finance Ads Marketing and LCS and GGS teams within the Ad Sales org.
5 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience mentoring team members on best practices
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
7 years of data engineering database engineering business intelligence or business analytics experience
Masters degree
Knowledge of software engineering best practices across the development lifecycle including agile methodologies coding standards code reviews source management etc.
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 https://amazon.jobs/content/en/howwehire/accommodations 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 $139100/year in our lowest geographic market up to $240500/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 https://www.aboutamazon/workplace/employeebenefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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