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Data Engineer - Frostbite Analytics

Frostbite is EA’s proprietary game engine that comes equipped with tons of tools and technologies designed to build incredible games. Our in-house engine offers the unique ability to adapt to each game while working hand-in-hand to prioritize what to build. Our goal is to empower creators all over the world to bring their best ideas to life by creating an engine that amplifies innovation across every discipline. Learn More

What does a Data Engineer in Frostbite do?

You will report to the Analytics Manager on the Frostbite Analytics team. We are unlocking creator-centric engine development by providing data products and analysis that enable quality, better workflows, and operational improvements. As a Data Engineer, you will create clean, easy-to-use data sources for the Frostbite team and our partners and help maintain our analytics framework. You will collaborate with analysts, data engineers, and software developers in Frostbite, and with other data professionals and software developers across EA. Our team promotes a culture of learning, inclusion, continuous improvement, and sustainable development.

Responsibilities

• Collaborate with Data Analysts and our partners to define project data requirements
• Develop scalable and reliable data pipelines for data ingestion, transformation and distribution
• Maintain data sourced from Frostbite engine and tools usage, development, and team operations and related downstream tables
• Document data and processes in the data catalogue
• Identify opportunities for data optimization and process improvements to enhance the effectiveness of data-related operations
• Learn and work with the latest technologies and methodologies and share best practices with the team

Qualifications

• College degree in Computer Science or related subject like Applied Statistics or Mathematics, or equivalent training and professional experience
• 2+ years experience in data modelling, ETL processes, and data warehousing
• 2+ years experience building data pipelines using MSFT database technologies and Azure tools and services (Azure Databricks, Azure Blob, Azure SQL), or other cloud providers
• Proficiency in SQL and Python
• Proficiency in software engineering good practices: version control, unit testing, code review, and documentation

Bonus if you have...

• Microsoft Certified Data Engineer Associate or Databricks Data Engineer Associate certificate
• 1+ years of experience with any Spark products (Azure Databricks, Azure Synapse, Apache Spark, AWS Glue)
• Experience with data visualization tools such as Microsoft Power BI (preferred), Tableau, or Qlik
• Knowledge of machine learning architecture and techniques

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