Business Intelligence Engineer, Chronicle
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Impact
Ever wondered how Amazon offers the Earths biggest selection and still manages to offer lower prices every day to our customers Our retail business teams work with a massive array of vendors and business financial performance metrics to expand selection and drive costs lower. Given the rapid growth of our business this requires our category leaders financial analysts site merchandisers and vendor managers to quickly analyze vendors categories and brands diving deep into data showing business efficiency down to the unit sale level. The technology that enables this has huge visibility and impact and is critical to Amazons continued profitability and growth.
Innovation
Were working on the future. If you are seeking an environment where you can drive innovation. If you want to apply state-of-the-art software technologies to solve real world problems. If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment this is your opportunity. The responsibilities of this role will be key in paving the future of Amazon Retail and transforming how we do business.
Opportunity
You will be part of a team of creative top-notch software developers to work hard have fun and make history. Data engineers at Amazon are more than just order takers; they see a problem and leverage innovative technology to address it. You will be working with very large data sets well beyond the scalability limits of conventional relational databases. Were looking for people who innovate love solving hard problems and never take no for an answer.
About the team
Be part of a high performance high profile team with a complete entirely localized business charter to enhance business profitability for the Amazon Consumer business.
Platform runs entirely on AWS; high scale engineering challenges.
Very successful team that has developed a reputation of delivering results within Amazon.
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience working as a BIE in a technology company
- 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.
Ever wondered how Amazon offers the Earths biggest selection and still manages to offer lower prices every day to our customers Our retail business teams work with a massive array of vendors and business financial performance metrics to expand selection and drive costs lower. Given the rapid growth of our business this requires our category leaders financial analysts site merchandisers and vendor managers to quickly analyze vendors categories and brands diving deep into data showing business efficiency down to the unit sale level. The technology that enables this has huge visibility and impact and is critical to Amazons continued profitability and growth.
Innovation
Were working on the future. If you are seeking an environment where you can drive innovation. If you want to apply state-of-the-art software technologies to solve real world problems. If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment this is your opportunity. The responsibilities of this role will be key in paving the future of Amazon Retail and transforming how we do business.
Opportunity
You will be part of a team of creative top-notch software developers to work hard have fun and make history. Data engineers at Amazon are more than just order takers; they see a problem and leverage innovative technology to address it. You will be working with very large data sets well beyond the scalability limits of conventional relational databases. Were looking for people who innovate love solving hard problems and never take no for an answer.
About the team
Be part of a high performance high profile team with a complete entirely localized business charter to enhance business profitability for the Amazon Consumer business.
Platform runs entirely on AWS; high scale engineering challenges.
Very successful team that has developed a reputation of delivering results within Amazon.
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience working as a BIE in a technology company
- 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
- Business Intelligence
- Cognos
- SQL
- Power BI
- QlikView
- Data Visualization
- ssrs
- Tableau
- SSIS
- Data Modeling
- Data Warehouse
- Data Analysis Skills
About Company
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