Business Intelligence Engineer, Amazon Customer Service
Core
Design and own production data pipelines to transform raw customer interaction transcripts into scalable diagnostic insights for the Customer Service organization.
Role type
Senior Business Intelligence Engineer (Data Engineering & Analytics)
Builds
Production data pipelines, end-to-end data models, and LLM-powered diagnostic datasets for customer experience analysis.
Domain
E-commerce / Customer Service / Data Engineering / Applied AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, ETL pipeline construction, SQL, Python scripting, AWS (EC2, DynamoDB, S3, Redshift), Statistical Analysis (R, SAS, Matlab), Data visualization (Tableau, Quicksight), NoSQL databases, Oracle, Redshift
Preferred skills
Productionizing LLM-based diagnostic outputs
Technologies
Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, Python, AWS (EC2, DynamoDB, S3), LLMs
Responsibilities
Build and own production data pipelines for transcript ingestion and multi-contact journey analysis. Design and maintain end-to-end data models for the team's KPI portfolio. Integrate pipelines with central Customer Service data infrastructure. Scale innovations from analyst prototypes into certified production pipelines. Build transcript prototyping infrastructure for stakeholder self-service. Productionize LLM-based diagnostic outputs into reliable datasets.
Seniority
Senior, hands-on IC