Data Engineer, AMX ITDS Analytics

Amazon•Seattle, WA

About The Position

Join Amazon's Integrated Talent Development Systems Analytics Team: Shape the Future of 1.5M+ Amazonian Career Journeys! As a Data Engineer, build scalable data infrastructure powering insights for one of the world's largest workforce development systems. Looking for a passionate Data Engineer to revolutionize how we process and manage career development data at Amazon. You'll join an experienced team of Data Engineers building robust data pipelines and infrastructure that impact Amazonians across 40+ countries. Why This Role Matters: - Direct impact on career development data infrastructure serving 1.5M+ Amazonians globally - Work with talent development systems proprietary to Amazon - Join a high-performing team of Data Engineers - Opportunity to shape data architecture for one of Amazon's most impactful organizations - Enable data-driven decision making through robust data infrastructure This role is perfect for candidates passionate about: - Building scalable data solutions for enterprise-scale platforms - Designing and optimizing complex data pipelines - Working in a fast-paced environment with continuous innovation - Creating reliable data infrastructure that powers career development insights About the team The ITDS Analytics team owns both career development and employee onboarding experiences at Amazon. Our team of Data Engineers, Business Intelligence Engineers, and analytics leadership builds scalable data infrastructure powering the employee journey from day one through their career. We support 1.5M+ Amazonians globally through robust data architecture, pipelines, and warehouse solutions that enable data-driven decision making. With our highly collaborative and fast-moving culture, we're seeking talented Data Engineers passionate about building large-scale data solutions to enhance the Amazon employee experience.

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Nice To Haves

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Responsibilities

Lead the design and implementation of large data solutions for Amazon's proprietary talent products
Collaborate with stakeholders to understand data requirements and implement appropriate data models
Develop and maintain efficient ETL processes and data pipelines
Implement data quality controls and monitoring systems
Create and optimize physical data models for performance and scalability
Establish data governance standards and best practices
Build automated data validation and testing frameworks
Design and implement data security controls and access patterns
Optimize query performance and data storage efficiency
Stay current with the latest data engineering tools and methodologies, continuously improving the team's capabilities and efficiency