Data Engineer - Python, ETL

Data Engineer - Python, ETL Location: Toronto, ON (Hybrid – 2–3 days onsite) Duration: 7 Months Experience: 6–8 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 • 6–8 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 / Kubernetes • Real-time or low-latency systems Must-Have • Python or Java • ETL + Data Modeling • SQL • Databricks/Snowflake • Cloud (Azure/GCP)

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