Data Engineer - Presystem

📋 Description Architect, deploy, and maintain enterprise database environments with scalability, security, and Design, deploy, and manage enterprise-grade database solutions using cloud-managed and cloud-native Migrate databases from on-premises or other clouds to Google Cloud; minimize downtime during Analyze and resolve performance issues with query optimization and tuning. Implement high availability, DR, replication, and backup/restore strategies. Collaborate with customers and internal teams to translate requirements into scalable technical 🎯 Requirements Hands-on experience with Google Cloud database services: Cloud SQL, Cloud Spanner, Bigtable Strong RDBMS background: PostgreSQL, Oracle, SQL Server. Database architecture, schema design, concurrency, and enterprise engines. Experience migrating large-scale databases using GCDMS, Ora2Pg, CDC pipelines, etc. Advanced performance optimization: query analysis, execution plans, indexing, connections. HA/DR design with replication and multi-region deployments. 🎁 Benefits Opportunity to work on large-scale cloud database transformation projects. Exposure to advanced Google Cloud technologies and enterprise data platforms. Flexible remote work environment. Collaborate with experienced technical teams and enterprise customers. Professional growth through complex engineering challenges and emerging technologies.