
Transformative Cloud Data Engineer
2 weeks ago
Job Summary:
Our company seeks a highly skilled Senior Cloud Data Engineer to lead complex data migration projects from on-premise environments to Azure. The ideal candidate will have hands-on experience in modern data engineering tools and platforms within the Azure ecosystem.
Key Responsibilities:
- Design, develop, and manage 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.
- 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 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).
Benefits:
- Opportunity to work on high-impact data migration projects.
- Chance to collaborate with experienced professionals in the field.
- Professional growth and development opportunities.
About Us:
We are a leading consulting firm specializing in AI solutions that produce revolutionary outcomes for enterprises worldwide. We leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently.
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