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4 days ago
Looking for a career as an Azure Data Engineer? We're seeking a skilled professional with hands-on experience in modern data engineering tools and platforms within the Azure ecosystem.
Job DescriptionAs a key member of our team, you'll be responsible for designing, developing, and managing end-to-end data pipelines using Azure Data Factory or Synapse Data Factory to orchestrate migration and ETL processes.
- Lead the migration of large-scale SQL workloads from on-premise environments to Azure, ensuring high data integrity, minimal downtime, and performance optimization.
- Design and develop 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.
- Collaborate with cloud architects, DBAs, and application teams to assess existing workloads and define the best migration approach.
To succeed in this role, you'll need:
- 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.
- SSIS – design, development, and migration to Azure.
- 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.
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