Business Intelligence Engineer, Search Capacity

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.

Basic Qualifications

• Bachelor's 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.

Preferred Qualifications

• Master's 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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