BI Engineer, Prime Data Engineering and Anaytics
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Join Amazons Prime Data Engineering & Analytics (PDEA) team as a Business Intelligence Engineer (BIE) to revolutionize how we understand measure and serve our global Prime customer base. Youll architect and build enterprise-level data analytics solutions including scalable ETL pipelines automated AI powered reporting systems and self-service analytics platforms that process petabytes of data daily across multiple dimensions. Working with technologies like AWS Apache Kafka Spark and modern AI/ML tools youll create data analysis products that power critical decision-making across Amazon.
As a BIE youll be instrumental in defining and implementing key business metrics building efficient dimensional data models and leveraging advanced AI technologies like QuickSuite and ML-powered analytics. Youll design intuitive self-service platforms that enable business users to independently explore data discover insights and create automated reports. Beyond technical implementation youll lead end-to-end project execution manage worldwide Prime core services data infrastructure and establish key relationships across Amazons business units. This role offers the opportunity to provide technical mentorship drive architectural decisions and shape the future of Amazon Primes data ecosystem directly impacting millions of customers globally.
Key job responsibilities
Responsibilities
1. Own design and execution of end to end projects
2. Own managing WW Prime data infrastructure
3. Establish key relationships which span Amazon business units and Business Intelligence teams
4. Implement standardized automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
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.
As a BIE youll be instrumental in defining and implementing key business metrics building efficient dimensional data models and leveraging advanced AI technologies like QuickSuite and ML-powered analytics. Youll design intuitive self-service platforms that enable business users to independently explore data discover insights and create automated reports. Beyond technical implementation youll lead end-to-end project execution manage worldwide Prime core services data infrastructure and establish key relationships across Amazons business units. This role offers the opportunity to provide technical mentorship drive architectural decisions and shape the future of Amazon Primes data ecosystem directly impacting millions of customers globally.
Key job responsibilities
Responsibilities
1. Own design and execution of end to end projects
2. Own managing WW Prime data infrastructure
3. Establish key relationships which span Amazon business units and Business Intelligence teams
4. Implement standardized automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
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:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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