
Data Engineering Professional
2 days ago
Seeking a data engineering professional with expertise in Azure migration and modern data platforms.
Key Responsibilities- Lead large-scale SQL workload migrations from on-premise to Azure, ensuring high data integrity and performance optimization.
- Design and develop end-to-end data pipelines using Azure Data Factory or Synapse Data Factory for migration and ETL processes.
- Build and administer scalable Azure Data Lakes to store structured and unstructured data during and post-migration.
- Utilize Azure Databricks and Synapse Spark Pools 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 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.
Requirements
- 3+ years of hands-on experience in data engineering with a focus on SQL workload migration to Azure.
- Deep expertise in: Azure Data Factory / Synapse Data Factory, Azure Data Lake, Azure Databricks / Synapse Spark Pools, Python and PySpark, SQL.
- Proven track record of delivering complex data migration projects (on-prem to Azure, or cloud-to-cloud).
- Experience re-platforming or re-engineering SSIS packages for Azure Data Factory or Azure-SSIS Integration Runtime.
- Microsoft Certified: Azure Data Engineer Associate or similar certification preferred.
- Strong problem-solving skills, attention to detail, and ability to work in fast-paced environments.
- Excellent communication skills with the ability to collaborate across teams and present migration strategies to stakeholders.
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