This role is for one of our clients
Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level
Min Experience: 7+ years
Location: Bengaluru, Karnataka, India, Pune, Gurugram, Haryana, India
JobType: full-time
₹25,00,000 - ₹40,00,000 a year
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.
Requirements
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. Strong skills in Python for data engineering tasks
- 7. Proficiency in Databricks and Stream Analytics
- 8. Experience with Event Hub and Logic App for event-driven data architectures
- 9. Expertise in Microsoft Purview for data governance
- 10. Working knowledge of Azure Monitoring and Data Explorer
Preferred Skills:
- 1. Experience with advanced data orchestration in Microsoft Fabric
- 2. Knowledge of cloud-native data platform architectures
- 3. Expertise in implementing stored procedures for complex data transformation
- 4. Familiarity with large-scale data environment management
Desired Qualifications:
- 1. Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
- 2. Microsoft Certified: Azure Solutions Architect Expert or equivalent certification
- 3. Microsoft Certified: Azure Data Engineer Associate or similar certification
Must-have skills
Microsoft Azure, Synapse, Fabric
Good-to-have skills
PySpark, SQL, ETL