25 Aug
|
Weekday AI
|
Pune
This role is for one of Weekday’s clients
Min Experience: 7+ years
Location: Bengaluru, Karnataka, India, Pune, Gurugram, Haryana, India
JobType: full-time
Experience Range: 7 to 10 years of experience, including substantial hands-on expertise delivering Azure Synapse Analytics to Microsoft Fabric migration projects, with direct involvement in migration planning, execution, validation, performance tuning, cutover, and post-migration optimization.
Key Responsibilities:
1. Lead the end-to-end migration of Azure Synapse Analytics environments to Microsoft Fabric, ensuring seamless transition and minimal business disruption.
2. Develop comprehensive migration strategies encompassing planning, execution, validation, cutover, and post-migration optimization.
3. Implement and optimize data pipelines using Azure Data Factory, Databricks, and related ETL technologies to support migration and ongoing operations.
4. Design, model, and maintain modern data warehousing solutions leveraging SQL Server, Azure Data Lake Storage Gen2, CosmosDB, and Blob storage.
5. Monitor, troubleshoot,
and tune the performance of data integration and analytics solutions throughout the migration lifecycle.
6. Collaborate with cross-functional teams to ensure data integrity, security, and compliance across all stages of the migration.
7. Utilize Azure Monitoring and Purview to ensure robust governance, lineage, and observability of data assets during and after migration.
8. Document architecture, processes, and best practices to support knowledge transfer and operational excellence post-migration.
Required Skills:
1. Hands-on experience with Azure Synapse Analytics to Microsoft Fabric migration projects
2. Advanced proficiency in SQL Server and T-SQL
3. Expertise in Azure Data Factory for ETL pipeline development
4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2)
5. Experience with CosmosDB for data modeling and integration
6. Solid skills in Python for data engineering tasks
7. Pro
📌 Azure Data Architect (Pune)
🏢 Weekday AI
📍 Pune