Pacer Group
Big Data Developer
A full-time hybrid (3 days/week in-office) Big Data Developer role in Mississauga for a BFSI client. Day to day: building Python-based ETL workflows, working with Hadoop, distributed systems and cloud storage, tuning Spark jobs, and writing unit tests for data pipelines.
- Compensation
- CA$125K–CA$130K / yr
- Location
- Mississauga, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Not specified
- Posted
Skills
Must have
- Strong hands-on experience in Python for data manipulation and automation
- Design and implement ETL workflows for structured/unstructured data
- Work with Hadoop, distributed systems, and cloud storage
- Perform Spark job optimization, performance tuning, and resource management
- Develop unit tests and troubleshoot data pipeline issues
- Collaborate with data engineers, analysts, and stakeholders to deliver data solutions
Full description
Work Arrangement: Hybrid (3 days a week)
Employment Type: Full Time
Salary Range: CAD $ 125k to 130k/ Annum + Benefits
Domain: BFSI
Application Deadline: Sept. 30th, 2026
SKILLS REQUIRED:
- Strong hands-on experience in Python for data manipulation and automation.
- Design and implement ETL workflows for structured/unstructured data.
- Work with Hadoop, distributed systems, and cloud storage.
- Perform Spark job optimization, performance tuning, and resource management.
- Develop unit tests and troubleshoot data pipeline issues.
- Collaborate with data engineers, analysts, and stakeholders to deliver data solutions.
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.