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.