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 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.#J-18808-Ljbffr

📌 Hybrid Data Engineer Role In Toronto (Winnipeg)
🏢 TEEMA Solutions Group
📍 Winnipeg