Posted last month
Azure Data Engineer
@ Pacer Group
Toronto, Ontario
Overview
Pacer Group is hiring a contract Azure Data Engineer in Toronto for 6 to 12 months, hybrid at 3 to 4 days a week, paying CAD 50 to 55 per hour incorporated. The role builds scalable ETL/ELT pipelines on the Azure data platform for a BFSI client, and requires 7+ years of data engineering experience.
Responsibilities:
- Build scalable ETL/ELT pipelines using ADLS, Python and SQL
- Develop data solutions on Azure Databricks and Azure Data Factory
- Schedule, monitor and troubleshoot jobs in Autosys
- Validate data quality and optimize Spark performance
Requirements summary:
- 7+ years in data engineering and data warehousing
- 5+ years with Azure data platform technologies
- Hands-on experience with Databricks, PySpark and ADF
- Experience with MySQL, Git/Azure DevOps and technical leadership
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-11
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 7+ years |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Pacer Group
| Field | Value |
|---|---|
| Open jobs on Jobsy | 57 |
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: Nov. 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.
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