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Información general

Ubicaciones: Offsite - Canada ON, Ontario, Canada 
ID del rol
211705
Tipo de trabajador
Temporary Employee
Estudio/Departamento
CT - Data & Insights
Acuerdo de trabajo flexible
Hybrid

Descripción y requisitos

Electronic Arts crea experiencias de entretenimiento increíbles que inspiran a personas jugadoras y fans de todo el mundo. Aquí, todo el mundo es parte de la historia. Parte de una comunidad que conecta a gente de todo el mundo. Un lugar en el que la creatividad prospera, se invita a nuevas perspectivas y las ideas importan. Un equipo en el que todo el mundo hace posible el juego.

We are looking for an experienced Data Engineer with broad technical skills and ability to work with large amounts of data.  You will collaborate with the Game and Product Analytics teams to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our games and applications. You will be working on developing data solutions for a mobile application led by EA Venture team.

You will have experience developing and establishing scalable, efficient, automated processes for large scale data analyses. You will also stay informed of the latest trends and research on all aspects of data engineering and analytics.  You will work with leaders from an internal Game Studio,  providing them with data for understanding game and player insights and report to the Technical Director for this group.

Key Responsibilities:

  • As a Data Engineer you will be involved in the entire development life cycle, from brainstorming ideas to implementing elegant solutions to obtain data insights. 

  • You will gather requirements, model and design solutions to support product analytics, business analytics and data science teams

  • Design, implement and maintain efficient, scalable and robust data pipelines using cloud-native and open source technologies

  • Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from diverse sources.

  • You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation. 

  • You will support production code to produce comprehensive and accurate datasets.

  • Automate deployment and monitoring of data workflows using CI/CD best practices.

  • You will guide communications between our users and studio engineers to provide scalable end-to-end solutions.

  • You will promote strategies to improve our data modelling, quality and architecture

  • Participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing.

  • Document data processes, architecture, and workflows for transparency and maintainability.

  • You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools.

  • Explore data feature designs and suggest new opportunities of cost and compute optimization 

Required Qualifications:

  • 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

  • Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions

  • Experience in data modelling and tools such as dbt, ETL processes, and data warehousing

  • Experience with at least one of the programming languages like Python, Java

  • Experience with version control and code review tools such as Git

  • Knowledge of latest data pipeline orchestration tools such as Airflow

  • Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation).

  • Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).

  • Comfortable working with a multi-functional team, both locally and remote, understanding the perspectives of each partner

  • Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI).

  • Excellent communication and collaboration skills.

  • Experience working in a fast paced environment

  • Experience working in an Agile development environment and familiar with process management tools such as JIRA, Target process, Trello or similar

Nice to Have:

  • Experience in gaming and working with its telemetry data or data from similar sources 

  • Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark, Iceberg

  • Experience in developing engineering solutions based on near real-time/streaming dataset

  • Exposure to AI/ML, MLOps concepts and collaboration with data science or AI teams.

  • Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics



Acerca de Electronic Arts
Nos llena de orgullo tener una extensa cartera de juegos y experiencias, ubicaciones por todo el mundo y oportunidades en EA. Valoramos la adaptabilidad, la resiliencia, la creatividad y la curiosidad. Desde un liderazgo que saca tu potencial hasta la creación de un espacio para aprender y experimentar, te animamos a hacer un trabajo fantástico y buscar oportunidades de crecimiento.

Adoptamos un enfoque integral con nuestros programas de beneficios, centrándonos en el bienestar físico, emocional, financiero, profesional y de la comunidad para apoyar una vida equilibrada. Nuestros paquetes están personalizados para satisfacer las necesidades locales y pueden incluir seguro médico, apoyo para el bienestar mental, plan de pensiones, días libre pagados, permisos familiares, juegos gratuitos y mucho más. Fomentamos entornos en los que nuestros equipos siempre pueden dar lo mejor de sí mismos en lo que hacen.

Electronic Arts ofrece igualdad de oportunidades. Todas las decisiones laborales se toman sin tener en cuenta la raza, el color de piel, el país de origen, la ascendencia, el sexo, el género, la identidad de género o su expresión, la orientación sexual, la edad, la información genética, la religión, la discapacidad, las enfermedades, los embarazos, el estado civil, la situación familiar, la situación militar o cualquier otra característica que quede bajo el amparo de la ley. También tenemos en cuenta solicitudes cualificadas con antecedentes penales, de conformidad con la ley vigente. Además, EA adapta el espacio de trabajo para gente cualificada con discapacidades según lo que exige la ley.