SummaryWe are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load data from varied sources, ensuring high data quality and supporting analytics across the organization. This is a long-term consulting job and the client is one of the major banks.

Working Model: Hybrid – 2 days onsite in TorontoLocation: M1W, ScarboroughIn-person Interview is required

• Key ResponsibilitiesDesign, build, and maintain automated data pipelines for enterprise applications.
• Develop efficient ETL processes to extract, transform, and load data across systems.
• Write complex SQL queries and Python scripts for data processing and validation.
• Perform data analysis to troubleshoot pipeline issues, verify data integrity, and optimize performance.
• Collaborate with analytics and business teams to deliver reliable datasets for business reporting.

SummaryWe are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load data from varied sources, ensuring high data quality and supporting analytics across the organization. This is a long-term consulting job and the client is one of the major banks.

Working Model: Hybrid – 2 days onsite in TorontoLocation: M1W, ScarboroughIn-person Interview is required

• Key ResponsibilitiesDesign, build, and maintain automated data pipelines for enterprise applications.
• Develop efficient ETL processes to extract, transform, and load data across systems.
• Write complex SQL queries and Python scripts for data processing and validation.
• Perform data analysis to troubleshoot pipeline issues, verify data integrity, and optimize performance.
• Collaborate with analytics and business teams to deliver reliable datasets for business reporting.