Big data Engineer

Mississauga, ON
Hybrid
Posted Oct 15, 2026
1 position

$125–$135 / year

Opens LinkedIn

Employment type: Full-time
Experience level: Senior · 8+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Develop and maintain scalable data pipelines using PySpark and Spark SQL to process large datasets efficiently. Perform data transformation and processing across cloud or on-premises environments, with attention to performance and data quality.

Job details

Job Title: Big Data Lead Location: Mississauga, ON Work Arrangement: Hybrid-3 days/ week Employment Type: Full-Time Perm Salary: CAD 125-135K/Year Domain: BFSI Application Deadline: Oct. 30th, 2026 Skills: 8+ years of exp. in developing and maintaining scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently. Key Skills: PySpark Spark SQL Python ETL / Data Pipelines ETL workflows Big Data Processing Distributed Computing Spark Performance Tuning & Optimization Data Transformation & Manipulation Cloud / On-Premises Data Processing Hadoop & Distributed Storage Unit Testing / Data Quality 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.

What you’ll do

Requirements

Requires 8+ years of experience developing and maintaining scalable data pipelines with PySpark and Spark SQL. Relevant skills include Python, ETL workflows, distributed computing, Hadoop, Spark optimization, unit testing, and data quality.