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2 days ago
We are seeking a skilled Azure Data Engineer to join our team. This role involves leading 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, with hands-on experience in modern data engineering tools and platforms within the Azure ecosystem.
Key responsibilities include designing, developing, and managing data pipelines using Azure Data Factory or Synapse Data Factory, as well as building and administering scalable, secure Azure Data Lakes to store and manage structured and unstructured data during and post-migration.
Additionally, the successful candidate will perform advanced data transformation and processing utilizing Azure Databricks, Synapse Spark Pools, Python, and PySpark, and develop SQL/T-SQL scripts for data extraction, cleansing, transformation, and reporting in Azure SQL Database, SQL Managed Instances, and SQL Server.
ETL solutions using SQL Server Integration Services (SSIS) will be designed and maintained, including reengineering SSIS packages for Azure compatibility. Collaboration with cloud architects, DBAs, and application teams will occur to assess existing workloads and define the best migration approach.
Strong problem-solving skills, attention to detail, and ability to work in fast-paced environments are essential for this role.
Required qualifications include 3+ years of hands-on experience in data engineering, with a clear 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 is necessary.
A proven track record of delivering complex data migration projects (on-prem to Azure, or cloud-to-cloud) is required.
Microsoft Certified: Azure Data Engineer Associate or similar certification is preferred.
Excellent communication skills with the ability to collaborate across teams and present migration strategies to stakeholders are required.
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