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 diverse 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
Strong 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.