Location
toronto, on, Canada
Posted
June 18, 2026
Job Description
Join a dynamic project in Toronto as a Senior DataOps and Cloud Data Engineer. This onsite role focuses on data engineering, utilizing tools like Databricks and AWS services.
This 1-year 11-month contract position at 5700 Yonge St. entails advanced data pipeline design and complex data transformation. The ideal candidate will engage with data lakehouse solutions and must have experience with structured and unstructured data using pandas, pyspark, and AWS tools. Your work will be pivotal in building efficient data models and ensuring high data quality.
Key Responsibilities:
• Design and implement data pipelines with Databricks and AWS Glue
• Develop complex data transformation ideas and procedures
• Manage data models for both data warehouses and lakehouses
• Troubleshoot issues arising in data handling workflows
• Collaborate with cross-functional teams for data solutions
Requirements:
• Strong experience in data engineering with pandas and pyspark
• Profi...
This 1-year 11-month contract position at 5700 Yonge St. entails advanced data pipeline design and complex data transformation. The ideal candidate will engage with data lakehouse solutions and must have experience with structured and unstructured data using pandas, pyspark, and AWS tools. Your work will be pivotal in building efficient data models and ensuring high data quality.
Key Responsibilities:
• Design and implement data pipelines with Databricks and AWS Glue
• Develop complex data transformation ideas and procedures
• Manage data models for both data warehouses and lakehouses
• Troubleshoot issues arising in data handling workflows
• Collaborate with cross-functional teams for data solutions
Requirements:
• Strong experience in data engineering with pandas and pyspark
• Profi...