Data Engineer II, IN Ads
Data Engineer II, IN Ads
Posted on :
23-08-2025
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1 Vacancy
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Job Description
Over the past 20 years Amazon has earned the trust of over 300 million customers worldwide by providing unprecedented convenience selection and value on . By deploying Amazon Ads products and services we provide insights into how Brands are performing in comparison to their Ads spends.
In this role you will lead Data Engineering efforts to drive automation for Amazon Ads organization.
You will be part of the data engineering team that will envision build and deliver high-performance and fault-tolerant data pipeliens. As a Data Engineer you will be working with cross-functional partners from Science Product SDEs Operations and leadership to translate raw data into actionable insights for stakeholders empowering them to make data-driven decisions.
Key job responsibilities
- Design and deliver big data architectures for experimental and production consumption between scientists and software engineering.
- Develop the end-to-end automation of data pipelines making datasets readily-consumable by science and engineering teams.
- Create automated alarming and dashboards to monitor data integrity.
- Collaborate with internal and external partners to translate business inquiries into an analytical framework using BI tools
- Support designing and analyzing statistical tests (e.g. A/B tests) and applying statistical methods to inform data-driven decisions
- Act as the subject matter expert for the data structure and usage.
- 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 non-relational databases / data stores (object storage document or key-value stores graph databases column-family 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 this role you will lead Data Engineering efforts to drive automation for Amazon Ads organization.
You will be part of the data engineering team that will envision build and deliver high-performance and fault-tolerant data pipeliens. As a Data Engineer you will be working with cross-functional partners from Science Product SDEs Operations and leadership to translate raw data into actionable insights for stakeholders empowering them to make data-driven decisions.
Key job responsibilities
- Design and deliver big data architectures for experimental and production consumption between scientists and software engineering.
- Develop the end-to-end automation of data pipelines making datasets readily-consumable by science and engineering teams.
- Create automated alarming and dashboards to monitor data integrity.
- Collaborate with internal and external partners to translate business inquiries into an analytical framework using BI tools
- Support designing and analyzing statistical tests (e.g. A/B tests) and applying statistical methods to inform data-driven decisions
- Act as the subject matter expert for the data structure and usage.
- 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 non-relational databases / data stores (object storage document or key-value stores graph databases column-family 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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