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 (e.g.,
Power BI).



Robust 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. Security
& Compliance: Implement role-based access control (RBAC), data encryption, and
network security (Private Endpoints) to protect sensitive data.

📌 Database Track Sr.Engineer (India)
🏢 Hexaware
📍 India