Job Description

Join Amazon's Intelligent Talent Acquisition Data team to reinvent the hiring process using advanced data infrastructure and analytics tools, focusing on delivering scale, sophistication, and accuracy for recruitment.

Requirements

7+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Knowledge of distributed systems as it pertains to data storage and computing
Experience in at least one modern scripting or programming language (e.g., Python, Java, Scala, NodeJS)
Experience with SQL
Experience mentoring team members on best practices

Responsibilities

Lead technical design/code reviews, evaluate emerging technologies, and drive engineering best practices across development lifecycle.
Develop on global AWS architecture to implement scalable, reliable data pipelines and infrastructure, supporting analytics at scale.
Develop data governance processes through existing and new technology including tools like SageMaker Unified Studio.
Design and enforce data modeling standards, lineage, and governance frameworks while ensuring secure, compliant solutions.
Support strategic planning by working with Executives and Senior Managers, Principal Engineers, and cross-team Data Engineers.
Mentor junior engineers, foster technical excellence, and empower team self-service capabilities for handling complex data tasks independently.