Data Engineer , Amazon Customer Service
Core
Build and maintain the foundational data layer powering measurement, analytics, and automation for Amazon's customer service interactions (chat, voice, bots, self-service) to enable performance evaluation and product improvements.
Role type
Senior IC data engineer (large-scale data infrastructure)
Builds
Data pipelines, schemas, and data platforms for CXP analytics ecosystem
Domain
E-commerce / Customer Service / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT development, OLAP technologies, SQL, Oracle, large-scale data structures
Preferred skills
AWS technologies (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda), non-relational databases
Technologies
AWS Glue, Spark, Redshift, EMR, Oracle, S3, Kinesis, FireHose, Lambda, IAM
Responsibilities
Design and implement logical and physical data models for large-scale datasets; Build and optimize data pipelines for business-critical reporting; Own data quality end-to-end including SLAs and monitoring; Drive migration and modernization of data infrastructure; Improve self-service access to data via lineage tracking and governance tools; Partner cross-functionally to deliver datasets for data-driven decisions; Automate manual processes and improve operational excellence; Mentor peers and participate in hiring and code reviews