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Senior Data Engineer

Zynga

Skills

Required

  • SQL
  • Mobile
  • query optimization
  • data warehouses
  • LLMs
  • generative AI tools and workflows
  • Airflow
  • Docker
  • S3
  • Python

Preferred

  • évolutifs
  • creating and maintaining dashboards
  • Tableau
  • BI

Join Zynga, a leading mobile gaming company, as a Senior Data Engineer. In this role, you will write and optimize complex SQL queries, design and maintain cross-game data marts, develop scalable code and tools, and build end-to-end AI pipelines. You will also share your knowledge with game analysts and contribute to the success of the team. Enjoy a range of benefits including wellness programs, flexible time-off policies, and opportunities for equity participation.

Responsibilities

  • Écrire et optimiser des requêtes SQL complexes pour soutenir l'expérimentation et l'ingénierie des fonctionnalités des modèles.
  • Concevoir, construire et maintenir des data marts inter-jeux, fournissant des données propres et transformées prêtes à être utilisées par les analystes.
  • Développer un code, des outils et des frameworks évolutifs, réutilisables et maintenables qui peuvent être adoptés par différentes équipes de jeux.
  • Experience creating and maintaining dashboards in Tableau or a similar BI tool

Requirements

  • Advanced SQL skills, including experience with CTEs, query optimization, and large-scale data warehouses
  • A fast learner who is proactive and comfortable working with ambiguity
  • Basic to intermediate experience integrating LLMs or working with generative AI tools and workflows
  • A collaborative team player who builds trust, communicates openly, and contributes to shared success
  • Advanced experience building and maintaining data pipelines in production environments, using tools such as Airflow, Docker, S3, and CI/CD workflows
  • Detail-oriented, with a strong commitment to accuracy and high-quality outcomes
  • Pragmatic, with the ability to balance short-term delivery needs with long-term technical quality
  • A bachelor degree in a quantitative field (e.g Engineering, Computer Science, Maths, Statistics or Physics)
  • Advanced experience in Python for developing production-level data analytics solutions
  • Background in the Mobile Gaming industry
  • Background in Marketing Analytics