This job might no longer be available.

Data Engineer - Frostbite QV

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

Reporting to the Engineering Manager of Quality Engineering, you will join a versatile team driving innovation to solve real-world quality problems for game creators using Frostbite. As a Data Engineer, you will deliver the architecture and infrastructure that unlock engineering investment insights from varied data sets. You will collaborate with the ML engineeer and quality engineers in our team, and with other data engineers and software developers across EA. Our team promotes a culture of learning, innovation, continuous improvement and sustainable development.

Responsibilities

• Manage data generated in Frostbite quality processes, and data pipelines to ensure quality and security of data.
• Gather requirements, develop, document and test data storage system updates to support quality initiatives.
• Design scalable and reliable data pipelines for data ingestion, transformation and distribution
• Manage data storage strategy to balance costs based on data access and growth needs.
• Contribute to telemetry standards, and implement foundational layers of telemetry in quality tools.
• Create data catalogs for development team to access and use the latest data capabilities.
• Identify opportunities for data optimization and process improvements to enhance the effectiveness of data-related operations.
• Learn and work with latest technologies and methodologies.

Qualifications

• BSc or MSc degree in Computer Science, related academic programme like e.g. Applied Statistics or Mathematics, or equivalent training and professional experience.
• 2+ years experience in data modeling, 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 Python and SQL.
• Proficiency in software engineering good practices: version control, automated testing, code review.

Bonus if you have...

• 1+ years of experience with any Spark products (Azure Databricks, Azure Synapse, Apache Spark, AWS Glue).
• 1+ years of experience with NoSQL database products (MongoDB, Azure Tables, Azure CosmosDB).
• Good understanding of distributed computing principles
• Knowledge of machine learning techniques.
• Experience with C#, Scala or R.