
Transforming Business Outcomes through Cloud Data Engineering
11 hours ago
We are seeking an experienced Azure data engineer to lead large-scale SQL workload migrations from on-premise environments to the cloud. The ideal candidate will have a strong foundation in data integration, transformation, and migration.
The role involves designing, developing, and managing end-to-end data pipelines using Azure Data Factory or Synapse Data Factory for migration and ETL processes. The successful candidate will also be responsible for building and administering scalable, secure Azure Data Lakes to store and manage structured and unstructured data during and post-migration.
- Design and develop robust data pipelines using Azure Data Factory or Synapse Data Factory.
- Build and administer secure Azure Data Lakes to store and manage data.
- Utilize Azure Databricks, Synapse Spark Pools, Python, and PySpark for advanced data transformation and processing.
The ideal candidate should possess:
- 3+ years of hands-on experience in data engineering with a focus on SQL workload migration to the cloud.
- Deep expertise in: Azure Data Factory / Synapse Data Factory, Azure Data Lake, Azure Databricks / Synapse Spark Pools, Python and PySpark, SQL Server Integration Services (SSIS).
- Proven track record of delivering complex data migration projects.
Additional qualifications include Microsoft Certified: Azure Data Engineer Associate certification and strong problem-solving skills.
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