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.