Jobs in Oakville

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Within 25 km of Oakville

Added 1 month ago
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Pacer Group

Big Data Lead

Mississauga, ON, Canada

$120,000 to $125,000 CAD / year · Full-time

Within 25 km of Oakville · About 14.1 km from the city centre

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Job details

Pay: $120,000 to $125,000 CAD / year
Job type: Full-time
Listed closing date: Oct 15, 2026
Experience: 8+ years of experience in Big Data / Data Engineering.
Posted: Sep 28, 2026

Original job description

Job Title: Big Data Lead

Location: Mississauga, ON

Work Arrangement: Hybrid: 3 Days/Week WFO

Employment Type: Fulltime

Salary: CAD $120K-125K/Year

Domain: BFSI

Application Deadline: October 15th, 2026

About the Role

We are looking for an experienced Big Data Lead to design, develop, and maintain scalable data solutions using PySpark, Spark SQL, Python, and distributed computing technologies.

Job Description: -

Required Skills & Experience

8+ years of experience in Big Data / Data Engineering.
Strong hands-on experience with PySpark and Apache Spark.
Strong programming skills in Python.
Excellent knowledge of Spark SQL and distributed data processing.
Experience designing and developing ETL/ELT data pipelines.
Strong understanding of distributed computing and big data concepts.
Experience working with Hadoop/HDFS, Hive, cloud storage, or data lake platforms.
Strong understanding of Spark performance tuning, including partitioning, caching, joins, shuffles, and resource optimization.
Experience writing unit tests and data validation frameworks.
Strong SQL skills and experience working with large datasets.
Experience with data pipeline monitoring, troubleshooting, and production support.

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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Responsibilities

Design, develop, and maintain scalable big data solutions using PySpark, Spark SQL, Python, and distributed computing technologies. Build and support data pipelines, optimize Spark performance, and monitor and troubleshoot production data processes.

Requirements

Requires 8+ years of experience in big data or data engineering, with strong hands-on skills in PySpark, Apache Spark, Python, Spark SQL, and SQL. Candidates should have experience with ETL/ELT pipelines, distributed data processing, Hadoop/HDFS, Hive or cloud data platforms, Spark performance tuning, testing, data validation, and production support.

Skills

PySpark
Apache Spark
Python
Spark SQL
Distributed Computing
ETL/ELT Data Pipelines
Hadoop/HDFS
Hive
Cloud Storage
Data Lakes
Spark Performance Tuning
Unit Testing
Data Validation
SQL
Data Pipeline Monitoring
Production Support

Visa sponsorship

Not detected in the job text

Keywords

Big Data
Data Engineering
PySpark
Apache Spark
Python
Spark SQL
Distributed Computing
Distributed Data Processing
ETL/ELT
Data Pipelines
Hadoop
HDFS
Hive
Cloud Storage
Data Lakes
Spark Performance Tuning
Partitioning
Caching
Joins
Shuffles
Resource Optimization
Unit Testing
Data Validation Frameworks
SQL
Large Datasets
Pipeline Monitoring
Troubleshooting
Production Support
BFSI

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