Data Engineer , Amazon Customer Service
Core
Design and implement robust data pipelines and infrastructure to power data-driven decisions and AI capabilities for Amazon Customer Service.
Role type
Senior Data Engineer
Builds
Enterprise-scale data processing systems, real-time and batch data solutions, and data governance frameworks.
Domain
Cloud computing, big data processing, and machine learning infrastructure
Deliverable
production ML models
Required skills
ETL/ELT framework design, data governance, data quality monitoring, technical design leadership, performance optimization, new technology evaluation
Preferred skills
AWS technologies (Redshift, S3, Glue, EMR, Kinesis, Lambda), non-relational databases, data modeling and warehousing
Technologies
AWS Redshift, AWS S3, AWS Glue, AWS EMR, AWS Kinesis, AWS FireHose, AWS Lambda, AWS IAM, Oracle, SQL, OLAP technologies
Responsibilities
Design and implement ETL/ELT frameworks for large-scale data operations; Establish and maintain data governance standards with security controls; Drive implementation of real-time and batch data solutions; Lead technical design reviews and mentor junior engineers; Build data quality frameworks with monitoring systems; Drive continuous improvement of data infrastructure.
Seniority
Senior, hands-on IC with mentorship responsibilities