Data Engineer
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- 7+ years of experience as a Data Engineer or in a closely related data role.
- Posting language
- English
- Posted
Original job description
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 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
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.
More about this job
Responsibilities
Design, build, and maintain automated data pipelines and ETL processes across enterprise systems. Use Python and SQL to process and validate data, troubleshoot pipeline issues, optimize performance, and provide reliable datasets for reporting.
Requirements
Requires 7+ years of experience in data engineering or a closely related role, strong Python and advanced SQL skills, and hands-on experience with AWS data pipelines. Candidates should also have experience with automated ETL and batch workflows, along with strong analytical and problem-solving abilities.
Skills
- Python
- SQL
- Data Engineering
- Data Pipeline Development
- ETL
- AWS
- Data Manipulation
- Data Automation
- Data Validation
- Data Analysis
- Data Integrity
- Batch Workflow Management
- Performance Optimization
- Problem-Solving
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
- Finance & Accounting
Keywords
- Data Engineering
- Python
- SQL
- AWS
- Data Pipelines
- ETL
- Data Processing
- Data Validation
- Data Analysis
- Data Quality
- Data Integrity
- Batch Workflows
- Relational Databases
- Enterprise Applications
- Business Reporting
- Analytics
- Performance Optimization
- Banking
- Consulting