About the company
At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.
Responsibilities
- Write and optimize complex SQL queries to support experimentation and model feature engineering across large-scale player datasets.
- Design, build, and maintain cross-game data marts, providing clean and transformed data ready for Analysts to use.
- Develop scalable, reusable, and maintainable code, tools, and frameworks that can be adopted across different game teams.
- Partner with game analytics teams to co-design, build, and maintain data tools and products used across multiple applications.
- Build and maintain end-to-end AI pipelines to support the day-to-day tasks of Analysts.
- Share knowledge across the team by educating game analysts on coding and software engineering best practices.
Requirements
- A bachelor degree in a quantitative field (e.g., Engineering, Computer Science, Maths, Statistics or Physics).
- Advanced SQL skills, including experience with CTEs, query optimization, and complex joins.
- Experience with data pipeline orchestration and ETL processes.
- Proficiency in Python for data processing and automation.
- Strong understanding of data modeling and data warehousing concepts.