At a Glance
- Tasks: Design and automate scalable data pipelines using Python and SQL.
- Company: Join a major bank with a focus on innovation and data-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on problem-solving and data integrity.
- Why this job: Make an impact by ensuring high data quality and supporting analytics.
- Qualifications: 7+ years in data engineering, strong Python and SQL skills required.
The predicted salary is between 123750 - 151250 $ per year.
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 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
- Toronto
- 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.
- #J-18808-Ljbffr
Data Engineer in Toronto employer: Unisystech Consulting Inc.
Join a forward-thinking company that values innovation and creativity in the tech space, particularly in the realm of AI development. With a strong emphasis on employee growth, we offer opportunities for continuous learning and professional advancement, all within a collaborative and supportive work culture. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a dynamic environment that fosters meaningful contributions to groundbreaking projects.
Contact Details:
Unisystech Consulting Inc. Recruitment Team
