Description

AWS GameTech Cortex is seeking an experienced Senior Data Engineer to join our team that specializes in full-stack data solutions for games. In this role, you will architect and build the robust data infrastructure that powers machine learning solutions directly impacting how game developers build, operate, and optimize their games on AWS. You will work at the intersection of gaming, data engineering, and cloud infrastructure to solve complex data challenges in areas such as player behavior analytics, game performance telemetry, content recommendation systems, and anti-cheat detection.

As a Senior Data Engineer, you will design and implement scalable data pipelines that process billions of gaming events daily, enabling real-time insights and ML model training. You'll collaborate closely with Applied Scientists, Game Developers, and Product teams to transform raw gaming data into actionable intelligence that drives business decisions and enhances player experiences.

The ideal candidate combines deep expertise in data engineering with a passion for gaming and the ability to deliver production-ready solutions. You will mentor junior engineers, establish best practices for DE development, and contribute to the technical direction of the team.

Key job responsibilities
Design, build, and maintain large-scale data pipelines processing real-time gaming telemetry, player behavior data, and game performance metrics

Architect data lakes and warehouses optimized for gaming analytics workloads, supporting both batch and streaming data processing

Develop ETL/ELT processes to ingest, transform, and serve gaming data from multiple sources including game clients, servers, and third-party platforms

Build data infrastructure supporting ML model training and inference for player behavior prediction, game balancing, and anti-cheat systems

Implement real-time data streaming solutions for live game monitoring, player segmentation, and dynamic content delivery

Collaborate with Applied Scientists to create feature stores and data marts optimized for gaming ML use cases

Ensure data quality, governance, and compliance across all gaming data assets

Optimize data processing costs and performance for high-volume gaming workloads

Mentor junior engineers and establish data engineering best practices for the gaming domain