- Job Description for Azure Cloud Database Engineer Data Pipeline Development Design and implement ETL workflows using Azure Data Factory, Databricks, and Python to ingest and transform data
- Database Management Optimization Build, maintain, and optimize SQL and NoSQL databases, including Azure SQL Database, Azure Synapse Analytics, and Cosmos DB
- Cloud Data Storage Manage data storage solutions utilizing Azure Data Lake Storage (ADLS) and Blob storage
- Security Compliance Implement role-based access control (RBAC), encryption, and data governance policies to meet security standards
- Monitoring Support Monitor database performance, troubleshoot data pipeline failures, and optimize for cost-efficiency
- Collaboration Work with data scientists and analysts to support AI/ML workloads and data visualization (eg, Power BI)
- Solid hands-on experience in integrating multiple databases like Oracle,
SQL Server, etc Database Design Deployment Architect and provision Azure SQL Database, Managed Instances, and SQL Server on Azure VMs
- Performance Tuning Optimize database performance using tools like Query Store, execution plans, and performance metrics to resolve bottlenecks
- High Availability Disaster Recovery (HA/DR) Design and manage failover groups, Always On Availability Groups, and geo-replication to ensure business continuity
Disclaimer This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.