Data Engineering Manager, Cross Border Science and Analytics
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Job Location:
Monthly Salary:
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
The person leads a team of data engineers and BI engineers to build scalable data platforms and deliver impactful analytics solutions. The role focuses on testing evaluating and deploying the latest AI and machine learning techniques to enhance analytics and decision-making. This leader ensures reliable data pipelines strong data governance and high-quality datasets for advanced insights. They collaborate closely with product business and science teams to translate business needs into data and AI solutions. The manager also drives best engineering practices production readiness and a culture of innovation and measurable impact.
About the team
We are the central data and science org for Amazons cross border business. We own 50 core foundational datasets enabling 8 business workstreams and drive 100 analytical reports. Our infrastructure will scale 20PB of data in next 3 years and we are moving fast to execute AI readiness for data and analytics. Our platforms will be self-serviceable agentic with focused attention on scalability quality and governance. We drive 15 ML programs to ensure scientific lens for solving critical business problems.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience hiring developing and promoting engineering talent
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS Tools and Technologies (Redshift S3 EC2)
- Experience working with or evaluating AI systems
- - managing a team driving AI experiments and successfully pushed to production
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.
About the team
We are the central data and science org for Amazons cross border business. We own 50 core foundational datasets enabling 8 business workstreams and drive 100 analytical reports. Our infrastructure will scale 20PB of data in next 3 years and we are moving fast to execute AI readiness for data and analytics. Our platforms will be self-serviceable agentic with focused attention on scalability quality and governance. We drive 15 ML programs to ensure scientific lens for solving critical business problems.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience hiring developing and promoting engineering talent
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS Tools and Technologies (Redshift S3 EC2)
- Experience working with or evaluating AI systems
- - managing a team driving AI experiments and successfully pushed to production
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.
Required Experience:
Manager
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
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