Senior BI Engineer: Data Pipelines, Dashboards & Analytics

Amazon; Bellevue (WA); Presencial; USD 130 000 - 176 000; Tempo integral

Resumo da oferta

Amazon is seeking a Senior Business Intelligence Engineer to own reporting solutions, data pipelines, and data products. You will partner with quality, supply chain, and software teams to translate operations problems into automated, self-service analytics.

You will contribute to data architecture, dashboard development with QuickSight, ETL optimization, and data quality monitoring while collaborating with stakeholders to translate requirements into scalable analytics.

Qualificações

• 5+ years of professional or military experience.

Responsabilidades

• Data architecture design — determine the right data foundations necessary to solve team-wide business problems
• Team development — operate as a team-wide resource for BI best practices and cross-team productivity improvements
• Dashboard Development & Maintenance — Design, build, and maintain QuickSight dashboards across domains
• Data Pipeline Engineering — Build and optimize ETLs, ensuring data freshness and reliability for operational decision-making
• Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms and root cause assessment
• Metric Onboarding — Onboard and maintain metrics in platforms like Perfect Mile for SSD buildings
• Data Quality & Monitoring — Own pipeline health monitoring, alerting, and incident response for Sev 3 production dashboards
• Stakeholder Partnership — Work directly with program teams to translate business requirements into scalable analytical solutions

Conhecimentos

SQL

ETL

Oracle

Python

AWS

Statistical analysis

Automated reporting

Data architecture

Formação académica

Bachelor's degree in statistics, data science, or quantitative field

Ferramentas

AWS

Oracle

Descrição da oferta de emprego

Amazon is seeking a Senior Business Intelligence Engineer to own reporting solutions, data pipelines, and data products. You will partner with quality, supply chain, and software teams to translate operations problems into automated, self-service analytics.

You will contribute to data architecture, dashboard development with QuickSight, ETL optimization, and data quality monitoring while collaborating with stakeholders to translate requirements into scalable analytics.