Manager - Data Engineering
American Express
Data Engineer II
Amazon· Data Science
About this role
Are you interested in helping Amazon ensure that customers make great purchase decisions and enable the world's most recognized Brands using Amazon to have the best experience listing and selling their products? The Transparency team is seeking a skilled and experienced Data Engineer II who is excited about owning the data space for Transparency. To be successful in this role, you must have a high capacity for Ownership, Bias for Action and Learn and Be Curious. You must be comfortable dealing with ambiguity, be an effective communicator, and be organized. Our business moves rapidly, and it’s important to be able to adapt to these changes while bringing relevant team members along the journey. You will have a high latitude on decision-making, and will work directly with engineering, business and operations stakeholders to define strategy and requirements, and then lead projects from design through delivery.
This is a global role that will include interaction with brands, tech teams, business development, operational teams, and stakeholders across US, EU, CN and IN.
Key job responsibilities
- Design, build, and maintain an analytical platform providing access to large datasets and computing power.
- Design, build and maintain data clusters providing access and insights for business needs.
- Design build and maintain data pipelines to transport relevant data to the right destinations.
- Implement data structures using best practices in data modeling.
- Collaborate with Analytics team to implement advanced analytics and GenAI algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Build robust and scalable data integration (ETL) pipelines.
- Author and evangelize Data handling best practices for the organization.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
About the team
Transparency is an Amazon program that proactively protects consumers against counterfeit products and ensures brands are accurately represented in the marketplace. Transparency protects brands on the FBA (Retail + 3P sellers) and FBM channels, meaning that only Third-Party Sellers (3P) with genuine product are able to list and ship orders to customers.
This is a global role that will include interaction with brands, tech teams, business development, operational teams, and stakeholders across US, EU, CN and IN.
Key job responsibilities
- Design, build, and maintain an analytical platform providing access to large datasets and computing power.
- Design, build and maintain data clusters providing access and insights for business needs.
- Design build and maintain data pipelines to transport relevant data to the right destinations.
- Implement data structures using best practices in data modeling.
- Collaborate with Analytics team to implement advanced analytics and GenAI algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Build robust and scalable data integration (ETL) pipelines.
- Author and evangelize Data handling best practices for the organization.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
About the team
Transparency is an Amazon program that proactively protects consumers against counterfeit products and ensures brands are accurately represented in the marketplace. Transparency protects brands on the FBA (Retail + 3P sellers) and FBM channels, meaning that only Third-Party Sellers (3P) with genuine product are able to list and ship orders to customers.
Basic qualifications
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
Preferred qualifications
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Frequently Asked Questions
Is the salary disclosed for the Data Engineer II position at Amazon?
The salary for this Data Engineer II role at Amazon is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer II position at Amazon located?
This Data Engineer II role at Amazon is based in Hyderabad, Telangana, IND. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer II role at Amazon full-time or part-time?
This is listed as a full time position. It is posted as a Data Engineer II role in the Data Science department at Amazon.
Which team or department does the Data Engineer II at Amazon belong to?
This Data Engineer II position is part of the Data Science department at Amazon. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer II position at Amazon?
Click the "Apply Now" button on this page. You will be redirected to Amazon's official application portal hosted on amazonjobs where you can submit your application directly.
When was the Data Engineer II job at Amazon posted?
This Data Engineer II position at Amazon was posted on Sep 15, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer II
Amazon
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