Be a key player in data engineering with a role as Principal Databricks Data Engineer in Toronto. Focus on architecting solutions and optimizing platforms using Databricks and Spark technologies.
This position requires expertise in developing and enhancing data platforms while collaborating with Finance and Risk teams to fulfill their analytics needs. You will design and implement data engineering solutions, driven by your knowledge of cloud technologies like AWS, Azure, or GCP, and programming languages such as SQL and Python.
Key Responsibilities:
• Design and implement solutions using Databricks
• Manage and optimize data lake and warehouse systems
• Develop ETL/ELT pipelines for varied data types
• Support Finance & Risk teams with analytics needs
• Lead data modernization and cloud migration initiatives
Requirements:
• Solid expertise in Databricks and Spark
• Experience with AWS, Azure, or GCP
• Proficiency in SQL, Python, or Scala
• Familiarit...