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Pacer Group
Mississauga, ON
- $130,000 to $135,000 CAD / year
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Pacer Group

Big Data Lead

Mississauga, ON, Canada

$130,000 to $135,000 CAD / year · Full-time

Within 25 km of Milton · About 21.5 km from the city centre

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Job details

Pay: $130,000 to $135,000 CAD / year
Job type: Full-time
Apply by: Oct 23, 2026
Posted: Sep 23, 2026

Original job description

Job Title: Big Data Lead

Location: Mississauga, ON

Work Arrangement: Hybrid (2-3 days a week)

Employment Type: Full Time

Salary Range: CAD $ 130k to 135k/ Annum + Benefits

Domain: BFSI

Application Deadline: Sept. 30th, 2026

SKILLS REQUIRED:

Develop scalable data pipelines using PySpark & Spark SQL.
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.

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More about this job

Responsibilities

Develop scalable data pipelines and ETL workflows for structured and unstructured data using PySpark, Spark SQL, and Python. Optimize and troubleshoot Spark jobs and collaborate with data engineers, analysts, and stakeholders to deliver data solutions.

Requirements

The role requires strong hands-on Python experience, along with skills in PySpark, Spark SQL, Hadoop, distributed systems, and cloud storage. Candidates should be able to design ETL workflows, tune Spark performance, manage resources, develop unit tests, and troubleshoot pipeline issues.

Skills

PySpark
Spark SQL
Python
Data Manipulation
Automation
ETL Workflows
Structured and Unstructured Data
Hadoop
Distributed Systems
Cloud Storage
Spark Job Optimization
Performance Tuning
Resource Management
Unit Testing
Troubleshooting
Stakeholder Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Big Data
PySpark
Spark SQL
Python
Data Pipelines
Data Manipulation
Automation
ETL
Structured Data
Unstructured Data
Hadoop
Distributed Systems
Cloud Storage
Spark Optimization
Performance Tuning
Resource Management
Unit Testing
Data Pipeline Troubleshooting
Data Engineering
Data Analytics
BFSI
Hybrid Work
Mississauga

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