Description
We're looking for an experienced Data Engineer to join our team at Electronic Arts. As a Data Engineer, you will collaborate with the Marketing team to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our business.
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.
Key Responsibilities:
- 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
- Automate deployment and monitoring of data workflows using CI/CD best practices
- Guide communications between our users and studio engineers to provide scalable end-to-end solutions
- Promote strategies to improve our data modelling, quality and architecture
- Participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing
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)
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.
Pay Transparency - North America
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
Pay Ranges: $100,000 - $139,500 CAD