Apply on Kit Job: kitjob.ca/job/2g986x

Become a key player as a Senior Data Engineer focusing on Azure technologies. Leverage your extensive experience with Azure Data Factory, Databricks, and Snowflake to optimize data pipelines.
In this role, you will draw on 5+ years of Data Engineering expertise, utilizing Python and PySpark for pipeline development. Your familiarity with DBT/DLT and Medallion Architecture will enhance project efficiencies. Effective handling of CI/CD principles using Azure DevOps, along with tracking and managing outages, will be essential to success.
Key Responsibilities:
• Develop and optimize data pipelines using PySpark
• Implement Azure Data Factory and Databricks solutions
• Manage and configure Azure Cloud deployments
• Utilize CI/CD principles in data projects
• Oversee task management using JIRA
Requirements:
• 5+ years as a Data Engineer in relevant technologies
• Proficiency with Snowflake and Storage Accounts
• Hands-on experience with bug tracking software
• Strong knowledge of Medallion Architecture
• Experience in crisis management and escalations
Leverage your Azure and Data Engineering skills to contribute effectively in a dynamic setting.
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Apply on Kit Job: kitjob.ca/job/2g986x

📌 Senior Data Engineer with Azure Expertise (Vancouver)
🏢 Cloud Bridge Solutions
📍 Vancouver