Data Engineer, Conversational Shopping Data Engineering
Core
Design and implement scalable data products and pipelines that power mission-critical analytical reports and metrics for Amazon AI products, supporting conversational shopping experiences.
Role type
Intermediate Data Engineer (Conversational Shopping)
Builds
Scalable data systems, data products, and pipelines for analytics and machine learning
Domain
E-commerce, AI/ML, Big Data
Deliverable
production ML models (via careerplan.io/jobs/10566271-data-engineer-conversational-shopping-data-engineering-at-amazon)
Required skills
Data modeling, ETL pipeline development, SQL, Big data solutions, Database architecture, Modern programming languages (C++, C#, Java, Python, Golang, PowerShell, Ruby), Business judgment
Preferred skills
AWS technologies (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda), Non-relational databases (object storage, document, key-value, graph, column-family)
Technologies
AWS Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, SQL, C++, C#, Java, Python, Golang, PowerShell, Ruby
Responsibilities
Design and implement data products and solutions for shopping platforms; Own medium to large data initiatives; Build data systems scaling to PB and streaming data with 100K TPS; Mentor entry-level engineers; Collaborate with engineering teams on instrumentation and data flow design.
Seniority
Intermediate, hands-on IC