Data Engineer
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
$70 to $80 CAD / hour · Contract
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Job details
- Pay
- $70 to $80 CAD / hour
- 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
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.
- 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 that move and transform data across enterprise systems. Use Python, SQL, and data analysis to validate data, troubleshoot issues, optimize performance, and provide reliable datasets for business reporting.
Requirements
Requires 7 or more years of experience as a Data Engineer or in a closely related data role, with strong Python and advanced SQL skills. Candidates should have a track record building automated ETL pipelines and managing batch workflows, along with strong analytical and problem-solving abilities focused on data quality and accuracy.
Skills
- Python
- SQL
- Data Engineering
- Data Pipeline Development
- ETL
- Data Manipulation
- Data Processing
- Data Validation
- Data Analysis
- Batch Workflow Management
- Data Quality
- Troubleshooting
- Performance Optimization
- Problem-Solving
- Business Reporting
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Keywords
- Data Engineering
- Python
- SQL
- Automated Data Pipelines
- ETL
- Data Extraction
- Data Transformation
- Data Loading
- Data Processing
- Data Validation
- Data Analysis
- Relational Databases
- Batch Workflows
- Data Integrity
- Data Quality
- Performance Optimization
- Enterprise Applications
- Business Reporting
- Analytics
- Banking
- Consulting