Data Engineer, Digital Acceleration
Data Engineer, Digital Acceleration
Posted on :
03-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazons digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled individual to join our team. In this role you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers.
An ideal individual is someone who has deep data engineering skills around ETL data modeling database architecture and big data solutions. This individual should have strong business judgement excellent written and verbal communication skills.
Key job responsibilities
- Develop data products infrastructure and data pipelines leveraging AWS services (such as Redshift Kinesis EMR Lambda etc.) and internal BDT tools (Datanet Cradle QuickSight etc.
- Improve existing solutions and come up with next generation Data Architecture to improve scale quality timeliness coverage monitoring and security.
- Partner with Software Developers Business Intelligence Engineers MLEs Scientists and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
A day in the life
This team is a dynamic group of data engineering and analytics professionals dedicated to developing innovative data products providing data-driven services and empowering the organization with robust business intelligence. Composed of talented individuals from diverse backgrounds we foster a collaborative culture of excellence knowledge-sharing and collective problem-solving.
We are committed to staying at the forefront of data trends continuously expanding our expertise to deliver tailored solutions that address our stakeholders evolving needs.
About the team
Amazon Digital Acceleration powers ordering subscriptions and device management for Prime Amazon Video Music Audible Alexa and Kindle amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earths best provider of one-time and recurring digital commerce delivering a seamless and enjoyable post-purchase customer experience.
- Bachelors degree
- 3 years of data engineering experience
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data modeling warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience working on and delivering end to end projects independently
- Coding proficiency in at least one programming language (Python Ruby Java etc)
- Masters degree
- 5 years of data engineering experience
- 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)
- Knowledge of Engineering and Operational Excellence using standard methodologies.
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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 Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled individual to join our team. In this role you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers.
An ideal individual is someone who has deep data engineering skills around ETL data modeling database architecture and big data solutions. This individual should have strong business judgement excellent written and verbal communication skills.
Key job responsibilities
- Develop data products infrastructure and data pipelines leveraging AWS services (such as Redshift Kinesis EMR Lambda etc.) and internal BDT tools (Datanet Cradle QuickSight etc.
- Improve existing solutions and come up with next generation Data Architecture to improve scale quality timeliness coverage monitoring and security.
- Partner with Software Developers Business Intelligence Engineers MLEs Scientists and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
A day in the life
This team is a dynamic group of data engineering and analytics professionals dedicated to developing innovative data products providing data-driven services and empowering the organization with robust business intelligence. Composed of talented individuals from diverse backgrounds we foster a collaborative culture of excellence knowledge-sharing and collective problem-solving.
We are committed to staying at the forefront of data trends continuously expanding our expertise to deliver tailored solutions that address our stakeholders evolving needs.
About the team
Amazon Digital Acceleration powers ordering subscriptions and device management for Prime Amazon Video Music Audible Alexa and Kindle amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earths best provider of one-time and recurring digital commerce delivering a seamless and enjoyable post-purchase customer experience.
- Bachelors degree
- 3 years of data engineering experience
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data modeling warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience working on and delivering end to end projects independently
- Coding proficiency in at least one programming language (Python Ruby Java etc)
- Masters degree
- 5 years of data engineering experience
- 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)
- Knowledge of Engineering and Operational Excellence using standard methodologies.
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
