Hybrid Data Engineer Role in Toronto
4 weeks ago
Canada
Talent To Hire Inc.
Full-time
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
Drive data solutions as an Intermediate Data Engineer in Toronto with a hybrid work model. Help shape advanced analytics and data governance within the Financial sector.
Our client seeks an Intermediate Data Engineer to join their Toronto-based Data & Analytics team. This role requires 4-6 years of hands-on experience in data engineering, specifically in designing and optimizing ETL/ELT pipelines. You'll work closely with analysts to ensure solutions meet the organization's technical needs for improved data visibility and governance.
Key Responsibilities:
• Build and maintain efficient ETL/ELT data pipelines
• Collaborate with teams to translate business requirements into data solutions
• Design scalable data architectures using AWS and Snowflake
• Ensure data quality and governance are maintained
• Assist in cloud migration initiatives
Requirements:
• 4-6 years of data engineering experience
• Strong SQL skills; experience with Snowflake or Databricks
• Knowledge of DBT and Airflow
• Familiar with CI/CD and data monitoring tools
• Experience in financial services is a plus
Contribute to data innovation within a leading organization in wealth tech.
Our client seeks an Intermediate Data Engineer to join their Toronto-based Data & Analytics team. This role requires 4-6 years of hands-on experience in data engineering, specifically in designing and optimizing ETL/ELT pipelines. You'll work closely with analysts to ensure solutions meet the organization's technical needs for improved data visibility and governance.
Key Responsibilities:
• Build and maintain efficient ETL/ELT data pipelines
• Collaborate with teams to translate business requirements into data solutions
• Design scalable data architectures using AWS and Snowflake
• Ensure data quality and governance are maintained
• Assist in cloud migration initiatives
Requirements:
• 4-6 years of data engineering experience
• Strong SQL skills; experience with Snowflake or Databricks
• Knowledge of DBT and Airflow
• Familiar with CI/CD and data monitoring tools
• Experience in financial services is a plus
Contribute to data innovation within a leading organization in wealth tech.