The Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories Amazon Search service go to work. We design develop and deploy high performance fault-tolerant distributed search systems used by millions of Amazon customers every day.
As a Business Intelligence Engineer in the Search Capacity team you will:
- Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and capacity planning.
- Identify and track key performance metrics around efficiency and costs.
- Manage planning ordering and budgeting for hardware and other computational resources.
- Develop and improve tools for automating the foregoing responsibilities wherever possible.
- Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs.
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with forecasting and statistical analysis
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- 3 years of data engineering database engineering business intelligence or business analytics experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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