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Data Developer

2 months ago

Montreal, Canada Electronic Arts Full time
p>DataOps Developer

As part of the Adrenaline team, you will join our Product Engineering team and lead projects that enhance the reliability of our data infrastructure. You will collaborate with multiple teams, including engineering, architects, analysts, project management, and others, to understand requirements and help shape the DataOps culture and practices within the organization, making a significant impact on outcomes.

You will report to the Director of Data Architecture.

Collaborate with partners, including engineers, analysts, architects, and others to oversee data pipeline and features releases and deployments.Develop CI/CD pipelines and automation tools to ensure quick and reliable data deployment across multiple environments.Use tools such as Terraform, GitLab, SQL, and Python, along with technologies like Airflow, Kubernetes, Docker, DBT, and Linux.Troubleshoot deployment issues, performance problems, and data availability outages.Maintain comprehensive documentation of system configurations and procedures, including run books for live support.Improve data products performance through proactive troubleshooting and integrating best practices throughout the data development lifecycle.Provide guidance on managing end-to-end availability and performance of mission-critical data services, building automation to prevent problem recurrence, and creating automated responses for non-exceptional service conditions.Monitor the reliability and performance of data products and services in both production and non-production environments.Collaborate to develop a flexible architecture to promote engineering/developer self-service.Develop automation coverage and targets of core build and deploy using cloud-native services and containers.

Qualifications:

  • BS in Computer Science, Engineering, or a related field.
  • 7+ years of hands-on experience with DevOps or DataOps.
  • 6+ years of experience in Terraform, GitLab, SQL, Python, Airflow, Kubernetes, Docker, DBT, and Linux. (Must have)
  • Experience in data warehousing technologies (Snowflake, BigQuery).
  • Design secure, scalable, and supportable technical solutions.