Senior Engineer, Software Engineering, India

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Responsibilities

• Deliver large-scale data migration projects from on-prem SQL Server and legacy Microsoft systems to Azure SQL Database and Azure SQL Managed Instance, ensuring data integrity, schema alignment and secure end-to-end movement.
• Execute migration planning activities including pre-migration analysis, dependency mapping, dry runs, go-live cutovers, rollback planning and post-migration hypercare support.
• Develop and optimize complex T SQL queries, stored procedures and schema objects for high-volume applications and critical workloads.
• Analyze execution plans and optimize performance, addressing issues such as blocking, deadlocks, index strategy, I/O bottlenecks and statistics management
• Design scalable and maintainable database structures applying normalization and denormalization practices as needed, including dimensional modeling when required.
• Build and maintain enterprise-grade data pipelines using Azure Data Factory, including incremental and bulk ingestion patterns aligned with business needs.
• Manage data storage on Azure Data Lake Storage Gen2 including structured and unstructured data organization, metadata consistency and performance considerations.
• Support database deployment and release automation using Azure DevOps, CI/CD pipelines and related tools ensuring predictable, version-controlled and auditable releases.
• Define and implement data archival and retention strategies using SQL Server and Azure services to optimize storage cost, maintain regulatory compliance and ensure long-term data accessibility.
• Conduct operational support including proactive monitoring, incident response, RCA preparation and database availability management using Azure Monitor, Log Analytics and SQL Insights.
• Collaborate with product and architecture teams to deliver stable and high-quality data systems that support business operations and growth.

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