Data Engineer with Azure Databricks Expertise
remote, remote, Canada • Posted May 31, 2026
Job Type:
Full-time
Location:
remote, remote
Posted:
May 31, 2026
Category:
IT & Technology
Application Deadline:
July 10, 2026
Role Description
Leverage Databricks to engineer robust data solutions focusing on ETL and data processing. Skilled use of PySpark and experience in lakehouse environments is essential.
In this role, you will architect and optimize data pipelines and workflows in collaboration with various technologies. You'll work primarily with Azure Data Lake Storage and Azure Data Factory while using your background in Python and SQL to enhance data processing efficiency. Familiarity with data modeling and performance enhancement techniques will also be necessary in this position.
Key Responsibilities:
• Construct and maintain ETL/ELT data pipelines
• Execute data transformations using Databricks
• Manage scalable storage with Azure Data Lake
• Schedule workflows using Azure Data Factory
• Collaborate with BI systems for data integration
Requirements:
• Hands-on experience with Databricks and Delta Lake
• Proficient in SQL and Python i...
In this role, you will architect and optimize data pipelines and workflows in collaboration with various technologies. You'll work primarily with Azure Data Lake Storage and Azure Data Factory while using your background in Python and SQL to enhance data processing efficiency. Familiarity with data modeling and performance enhancement techniques will also be necessary in this position.
Key Responsibilities:
• Construct and maintain ETL/ELT data pipelines
• Execute data transformations using Databricks
• Manage scalable storage with Azure Data Lake
• Schedule workflows using Azure Data Factory
• Collaborate with BI systems for data integration
Requirements:
• Hands-on experience with Databricks and Delta Lake
• Proficient in SQL and Python i...
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