Summary

We 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 wide-ranging 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 Toronto

Location : M1W, Scarborough

In-person Interview is required

Key Responsibilities

- Design, 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.

Requirements & Qualifications

- 7+ years of experience as a Data Engineer or in a closely related data role.
- Strong proficiency in Python for data manipulation and automation scripts.
- Advanced SQL skills for data transformation, querying, and relational database management.
- Hands-on experience building and maintaining data pipelines within the AWS cloud ecosystem.
- Solid track record building automated ETL pipelines and managing batch workflows.
- Strong analytical and problem-solving skills to ensure high data quality and accuracy.

📌 Data Engineer (Greater Toronto Area)
🏢 Unisystech Consulting
📍 Greater Toronto Area