Data Engineer II PubTech Data Insights Analytics
Data Engineer II PubTech Data Insights Analytics
Posted on :
28-04-2025
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1 Vacancy
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Job Description
The Publisher Technologies (PubTech) team builds and operates extensible services that empower 1P Publishers to improve the monetization of their customer experiences along with the experiences themselves. We bias toward standardsbased and flexible designs that allow Publishers the ability to invent on top of our solutions and to interoperate well with other advertising technology providers; both internal and external.
The PubTech Data Insights and Analytics team enables faster datadriven decision making for Publishers and Monetization teams by providing them with near real time data data management tools actionable insights and an easytouse reporting experience. Our data products provide Publishers and Monetization teams with the capabilities necessary to better understand the performance of their Advertising products along with supporting machine learning at scale.
As a Data Engineer you will be responsible for building a reliable and efficient data platform to support Analytics and intuitive data products. This will enable our stakeholders to easily leverage data in an efficient and selfservice manner. You will work on diverse industryleading data technologies such as Spark Iceberg Kafka and various other AWS technologies to build a scalable and robust data platform supporting Analytics and Experimentation. Additionally you will own the creation of endtoend data pipelines that consolidate large data sets across disparate systems and combine them into easily consumable data sets driving actionable insights for your customers.
The ideal candidate will be highly analytical able to work effectively in a matrix organization and adept at synthesizing a variety of technologies and capabilities into products that advertisers love. You must engage with customers to deeply understand their current and emerging needs. Given the rapidly evolving nature of advertising you must develop customer insight to identify solutions and innovate on behalf of your customers. We are seeking a customerobsessed technologysavvy individual with a passion for advertising and a wellrounded technical background including a history of leading complex ambiguous projects endtoend.
Key job responsibilities
Design develop and maintain our PubTech data platforms processing and analytics needs.
Build robust scalable faulttolerant data ingestion processing and storage solutions from the ground up using technologies such as Apache Spark Kafka and Amazon Web Services (AWS).
Implement data quality processes monitoring and alerting mechanisms.
Collaborate with data scientists analysts and product teams to understand their data requirements and translate them into efficient and reliable data pipelines.
Contribute to the teams efforts in developing best practices standards and tools for data engineering.
Mentor and guide junior data engineers fostering their professional growth and development.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam
Knowledge of distributed systems as it pertains to data storage and computing
Do you have experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
The PubTech Data Insights and Analytics team enables faster datadriven decision making for Publishers and Monetization teams by providing them with near real time data data management tools actionable insights and an easytouse reporting experience. Our data products provide Publishers and Monetization teams with the capabilities necessary to better understand the performance of their Advertising products along with supporting machine learning at scale.
As a Data Engineer you will be responsible for building a reliable and efficient data platform to support Analytics and intuitive data products. This will enable our stakeholders to easily leverage data in an efficient and selfservice manner. You will work on diverse industryleading data technologies such as Spark Iceberg Kafka and various other AWS technologies to build a scalable and robust data platform supporting Analytics and Experimentation. Additionally you will own the creation of endtoend data pipelines that consolidate large data sets across disparate systems and combine them into easily consumable data sets driving actionable insights for your customers.
The ideal candidate will be highly analytical able to work effectively in a matrix organization and adept at synthesizing a variety of technologies and capabilities into products that advertisers love. You must engage with customers to deeply understand their current and emerging needs. Given the rapidly evolving nature of advertising you must develop customer insight to identify solutions and innovate on behalf of your customers. We are seeking a customerobsessed technologysavvy individual with a passion for advertising and a wellrounded technical background including a history of leading complex ambiguous projects endtoend.
Key job responsibilities
Design develop and maintain our PubTech data platforms processing and analytics needs.
Build robust scalable faulttolerant data ingestion processing and storage solutions from the ground up using technologies such as Apache Spark Kafka and Amazon Web Services (AWS).
Implement data quality processes monitoring and alerting mechanisms.
Collaborate with data scientists analysts and product teams to understand their data requirements and translate them into efficient and reliable data pipelines.
Contribute to the teams efforts in developing best practices standards and tools for data engineering.
Mentor and guide junior data engineers fostering their professional growth and development.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam
Knowledge of distributed systems as it pertains to data storage and computing
Do you have experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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
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