Python and SQL specialists can build scalable data pipelines as Data Engineers in a hybrid consulting assignment, with two onsite days in Toronto.

This long-term consulting job supports a major bank client. The Data Engineer will design automated pipelines, develop ETL processes, and process data using Python and SQL. The work also includes data validation, AWS pipeline maintenance, and delivering reliable datasets for reporting.

Key Responsibilities:

- Design and maintain automated enterprise data pipelines
- Develop ETL processes across varied systems
- Write complex SQL queries and Python scripts
- Troubleshoot pipeline issues and verify data integrity
- Deliver reliable datasets with analytics and business teams

Requirements:

- Seven-plus years in data engineering or related roles
- Solid Python proficiency for manipulation and automation
- Advanced SQL for transformation and querying
- Hands-on AWS data pipeline experience
- Experience building automated ETL and batch workflows

Use Python, SQL, AWS, and ETL expertise to support high-quality data pipelines for a major banking client.

📌 Senior Python SQL Data Engineer (Toronto)
🏢 Unisystech Consulting
📍 Toronto