Hybrid Data Engineer Role in Toronto

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.