Electronic Arts

The EA Digital Platform (EADP) group is the core powering the global EA ecosystem. We provide the foundation for all of EA’s incredible games and player experiences with high-level platforms like Cloud, Commerce, Data and AI, Gameplay Services, Identity and Social. By providing reusable capabilities that game teams can easily integrate into their work, we let them focus on making some of the best games in the world and creating meaningful relationships with our players. We’re behind the curtain, making it all work together. Come power the future of play with us. 

The Challenge Ahead:

As a Software Engineer II, you will work on a large-scale distributed data system that empowers EA Games to personalize player experience and engagement.

You will be report to the Technical Director of EADP Data & AI - DEX Backend Team.

Responsibilities:

• You will help build a unified platform across EA, extract and process massive data from numerous game studios, and use the insight to serve massive online requests
• You will develop large-scale online platform to personalize player experience and provide reporting and feedbacks
• You will write reliable and efficient programs to process and consume massive (petabyte) datasets with large clusters of machines
• You will help develop reporting systems that inform on important metrics, detect anomalies, and forecast future results
• You will work with data architects, data analysts, and BI developers to understand requirements, develop ETL processes, validate results, and deliver to production

Qualifications:

• Master’s degree or foreign degree equivalent in Computer Science, Electrical Engineering, or related field.
• 3+ years of experience with software development, writing clean reusable code, test-driven development, and continuous integration.
• Proficiency in Java 
• Fast prototyping skills, familiarity with scripting languages such as bash, awk, python.
• Experience with distributed systems to serve massive concurrent requests.
• Experience working with online & offline databases, including columnar, relational or document databases.
• Experience working with data streaming and processing systems.