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 productive ETL/ELT data pipelinesCollaborate with teams to translate business requirements into data solutionsDesign scalable data architectures using AWS and SnowflakeEnsure data quality and governance are maintainedAssist in cloud migration initiativesRequirements:4-6 years of data engineering experienceStrong SQL skills; experience with Snowflake or DatabricksKnowledge of DBT and AirflowFamiliar with CI/CD and data monitoring toolsExperience in financial services is a plusContribute to data innovation within a leading organization in wealth tech.

📌 Hybrid Data Engineer Role In Toronto
🏢 TALENT TO HIRE
📍 Toronto