
Cloud Data Engineer for Enterprise Systems
2 weeks ago
Job Title: Cloud Data Engineering Lead
About the Role:
We are seeking an experienced Cloud Data Engineering Lead to manage and lead the migration of our on-premises Enterprise Data Warehouse (SQL Server) to a modern cloud-based data platform utilizing Azure Cloud data tools 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.
- Develop and maintain 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.
- Ensure data security and compliance with industry standards.
Requirements:
- Minimum of 8+ years of experience in a Cloud Data Engineering role, with at least 3 years in a leadership or technical delivery role.
- Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage), Databricks, and Snowflake.
- Strong experience in developing cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
- Proficiency in DevOps and CI/CD practices using Git Actions.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration skills.
- Proven track record of successful project delivery in a cloud environment.
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