Azure Data Engineer
- Toronto, ON, Canada
$50 to $55 CAD / hour · Contract
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Job details
- Pay
- $50 to $55 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 7+ years of experience in Data Engineering and Data Warehousing, including 5+ years with Azure Data Platform technologies.
- Posting language
- English
- Posted
Original job description
Job Title: Azure Data Engineer
Location: Toronto, ON
Work Arrangement: Hybrid (3-4 days a week)
Employment Type: Contract
Duration: 06-12 Months
Pay Rate: CAD 50-55/hour Incorporated
Domain: BFSI
Application Deadline: Oct. 30th, 2026
SKILLS REQUIRED:
- 7+ years of experience in Data Engineering and Data Warehousing, including 5+ years with Azure Data Platform technologies.
- Strong hands-on experience with Azure Databricks, PySpark, and Azure Data Factory (ADF).
- Expertise in building scalable ETL/ELT pipelines using ADLS, Python, and SQL.
- Hands-on experience with Autosys for job scheduling, monitoring, and troubleshooting.
- Strong understanding of Spark architecture, distributed computing, and performance optimization.
- Experience with MySQL, data quality validation, Git/Azure DevOps, and technical leadership.
EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
More about this job
Responsibilities
Build scalable ETL/ELT pipelines using Azure data technologies, Python, and SQL. Schedule, monitor, and troubleshoot jobs, validate data quality, optimize Spark performance, and provide technical leadership.
Requirements
Requires 7+ years of data engineering and data warehousing experience, including 5+ years with Azure Data Platform technologies. Candidates should have hands-on experience with Azure Databricks, PySpark, ADF, ADLS, Autosys, MySQL, Git/Azure DevOps, and Spark performance optimization.
Skills
- Data Engineering
- Data Warehousing
- Azure Data Platform
- Azure Databricks
- PySpark
- Azure Data Factory
- ETL/ELT Pipelines
- Azure Data Lake Storage
- Python
- SQL
- Autosys
- Spark Architecture
- Distributed Computing
- Performance Optimization
- MySQL
- Data Quality Validation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
- Management & Leadership
Keywords
- Data Engineering
- Data Warehousing
- Azure Data Platform
- Azure Databricks
- PySpark
- Azure Data Factory
- ETL/ELT
- Azure Data Lake Storage
- Python
- SQL
- Autosys
- Spark
- Distributed Computing
- Performance Optimization
- MySQL
- Data Quality Validation
- Git
- Azure DevOps
- Technical Leadership
- BFSI