Job Description
Join a dynamic team as a Data Engineer L2 in Toronto, Ontario, Canada, specializing in scalable ETL/ELT pipelines and advanced data modeling. Utilize your expertise in SQL, Python/PySpark, and cloud tools like GCP.
This role is designed for candidates with 4 to 7 years of experience in data engineering. You will lead the design and optimization of data pipelines for both batch and streaming data. Collaborate with cross-functional teams to enhance data architecture, ensure data quality, and drive advanced analytics solutions.
Key Responsibilities:
• Lead the development of scalable ETL/ELT data pipelines
• Design advanced data models for analysis and reporting
• Collaborate with teams to integrate diverse data sources
• Optimize SQL queries and Python/PySpark code for data transformation
• Implement data security and compliance best practices
Requirements:
• 4 to 7 years of experience in data engineering
• Strong SQL and Python/PySpark skills
• Experienc...
This role is designed for candidates with 4 to 7 years of experience in data engineering. You will lead the design and optimization of data pipelines for both batch and streaming data. Collaborate with cross-functional teams to enhance data architecture, ensure data quality, and drive advanced analytics solutions.
Key Responsibilities:
• Lead the development of scalable ETL/ELT data pipelines
• Design advanced data models for analysis and reporting
• Collaborate with teams to integrate diverse data sources
• Optimize SQL queries and Python/PySpark code for data transformation
• Implement data security and compliance best practices
Requirements:
• 4 to 7 years of experience in data engineering
• Strong SQL and Python/PySpark skills
• Experienc...