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2 days ago
We are seeking a highly skilled Cloud Data Engineer with expertise in modern data engineering tools and platforms within the Azure ecosystem.
The ideal candidate will have a solid foundation in data integration, transformation, and migration, along with a passion for working on complex data migration projects.
- Lead large-scale SQL workload migrations from on-premise environments to Azure, ensuring high data integrity, minimal downtime, and performance optimization.
- Design, develop, and manage end-to-end data pipelines using Azure Data Factory or Synapse Data Factory to orchestrate migration and ETL processes.
- Create 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.
- 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.
- Continuously monitor and optimize data workflows for performance, reliability, and cost-effectiveness across Azure platforms.
- Implement best practices in data governance, security, and compliance throughout the migration lifecycle.
Benefits: This role offers a chance to work on challenging projects, collaborate with experienced professionals, and grow your skills in cloud data engineering.
About the Role: As a Cloud Data Engineer, you will play a crucial part in designing and implementing scalable data solutions that meet the needs of our organization.
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