
Cloud Data Engineer
11 hours ago
We are seeking a seasoned Cloud Data Engineering Leader to drive the migration of our on-premises Enterprise Data Warehouse to a modern cloud-based data platform utilizing Azure Cloud and Snowflake. The successful candidate will be responsible for designing, developing, and implementing data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, Databricks, and Snowflake.
Main Responsibilities:- Manage and lead the migration of the on-premises SQL Server Enterprise Data Warehouse to Azure Cloud and Snowflake.
- Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, Databricks, and Snowflake.
- Oversee the development of cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
- Collaborate with cross-functional teams to ensure seamless integration and data flow.
- Certification in Azure or Snowflake.
- Prior experience working with automated ETL conversion tools used during cloud migrations.
- Experience with data modeling and database design.
- Knowledge of data governance and data quality best practices.
- Ability to adapt to new technologies and learn quickly.
The ideal candidate will have a minimum of 8+ years of experience in a Cloud Data Engineering role, with at least 3 years in a leadership or technical delivery role. Strong experience in developing cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake is required.
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