Data Engineer - Presystem

📋 Description Design, deploy, and manage enterprise-grade database solutions using cloud-managed and cloud-native Implement and maintain architectures across Cloud SQL, Cloud Spanner, Bigtable, AlloyDB, and Lead complex database migration projects from on-premises or other clouds to Google Cloud. Develop migration strategies for homogeneous and heterogeneous environments with minimal downtime. Analyze and resolve advanced performance issues via query optimization, indexing, and tuning. Design HA, DR, replication, backup, and point-in-time recovery strategies. 🎯 Requirements Hands-on experience with Google Cloud database services: Cloud SQL, Cloud Spanner, Bigtable Strong expertise in PostgreSQL, Oracle, and Microsoft SQL Server. Deep understanding of database architecture, schema design, concurrency controls, and enterprise Experience migrating large-scale databases using tools like Google Cloud Database Migration Advanced knowledge of performance optimization, including query analysis and indexing. Experience in HA/DR design, multi-region deployments, and recovery strategies. 🎁 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. Opportunity to collaborate with experienced technical teams and enterprise customers. Professional growth through complex engineering challenges and emerging technologies.