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1 day ago
We are seeking an experienced data engineering professional to lead the migration of large-scale SQL workloads from on-premise environments to Azure.
The ideal candidate will have a strong foundation in data integration, transformation, and migration, along with a passion for working on complex data migration projects.
- Design and develop end-to-end data pipelines using Azure Data Factory or Synapse Data Factory to orchestrate migration and ETL processes.
- Build and administer scalable, secure Azure Data Lakes to store and manage structured and unstructured data during and post-migration.
- Utilize Azure Databricks, Synapse Spark Pools, Python, and PySpark for advanced data transformation and processing.
- Develop and fine-tune SQL/T-SQL scripts for data extraction, cleansing, transformation, and reporting in Azure SQL Database, SQL Managed Instances, and SQL Server.
- Design and maintain ETL solutions using SQL Server Integration Services (SSIS), including reengineering SSIS packages for Azure compatibility.
- Collaborate with cloud architects, DBAs, and application teams to assess existing workloads and define the best migration approach.
- Continuously monitor and optimize data workflows for performance, reliability, and cost-effectiveness across Azure platforms.
Additional Responsibilities:
- Enforce best practices in data governance, security, and compliance throughout the migration lifecycle.
- Participate in code reviews and contribute to the development of high-quality, reusable code components.
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