Data Engineer - Python, ETL Location: Toronto, ON (Hybrid 23 days onsite) Duration: 7 Months Experience: 68 Years Role Summary Looking for a Data Engineer with strong experience in building scalable ETL pipelines, data models, and cloud-based data solutions using modern big data technologies. Key Responsibilities Design and build scalable ETL pipelines and data models Develop and maintain large-scale data applications and integrations Write and optimize SQL queries and scripts Work with Databricks / Snowflake and big data tools Build workflows using Airflow or Azure Data Factory Integrate APIs and support CI/CD pipelines (Git, Jenkins) Work in Agile environment with TDD practices Required Skills 68 years Data Engineering experience Strong Python (PySpark, Pandas) or Java Strong SQL skills ETL, data modeling, and pipeline development Experience with Databricks or Snowflake Cloud experience (Azure or GCP) CI/CD (Git, Jenkins) + Agile Preferred Capital Markets experience Docker / Kuberne...