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Data Engineering Lead
2 months ago
We are seeking a highly skilled Data Developer to join our Product Engineering team at Electronic Arts. As a Data Developer, you will play a critical role in enhancing the reliability of our data infrastructure and collaborating with multiple teams to shape the DataOps culture and practices within the organization.
Key Responsibilities- Standardize Processes: Work with EA DataOps and Operations teams to standardize processes and adopt industry best practices.
- Collaborate with Partners: Collaborate with partners, including engineers, analysts, architects, and other partners to oversee data pipeline and features releases and deployments.
- Develop CI/CD Pipelines: Develop CI/CD pipelines and automation tools to ensure quick and reliable data deployment across multiple environments.
- Utilize Technical Tools: Use tools such as Terraform, GitLab, SQL, and Python, along with technologies like Airflow, Kubernetes, Docker, DBT, and Linux.
- Ensure Service Level Agreements: Ensure Service level agreements are met by managing alerts and responding to issues promptly, collaborating with other engineers or dependent teams.
- Troubleshoot Deployment Issues: Troubleshoot deployment issues, performance problems, and data availability outages.
- Maintain Documentation: Maintain comprehensive documentation of system configurations and procedures, including run books for live support.
- Improve Data Products: Improve data products performance through proactive troubleshooting and integrating best practices throughout the data development lifecycle.
- Evaluate New Technologies: Evaluate and adopt new technologies to enhance team efficiency and platform capabilities.
- Provide Guidance: 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 Reliability: Monitor the reliability and performance of data products and services in both production and non-production environments.
- Develop Flexible Architecture: Collaborate to develop a flexible architecture to promote engineering/developer self-service.
- Develop Automation Coverage: Develop automation coverage and targets of core build and deploy using cloud-native services and containers.
- Education: BS in Computer Science, Engineering, or a related field.
- Experience: 7+ years of hands-on experience with DevOps or DataOps.
- Technical Skills: 6+ years of experience in Terraform, GitLab, SQL, Python, Airflow, Kubernetes, Docker, DBT, and Linux. (Must have)
- Data Warehousing Experience: Experience in data warehousing technologies (Snowflake, BigQuery).
- Collaboration: Collaboration to work with diverse teams.
- Design Secure Solutions: Design secure, scalable, and supportable technical solutions.
- Troubleshooting Experience: Experience troubleshooting and resolving issues.
