Jobs in Vaughan

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Within 25 km of Vaughan

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Tekgence Inc

Big Data Lead

Toronto, ON, Canada

Full-time

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Full-time
Apply by: Nov 21, 2026
Posted: Oct 22, 2026

Original job description

Role: Big Data Lead

Location: Toronto, ON

Fulltime

Develop and maintain scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently. Write clean, reusable, and optimized code in Python for data manipulation, analysis, and automation tasks. Design and implement ETL workflows to extract, transform, and load data from various structured and unstructured sources. Collaborate with data engineers, analysts, and stakeholders to understand data requirements and deliver solutions. Optimize Spark jobs for performance tuning, resource utilization, and minimizing execution time. Work with distributed computing frameworks to process and analyze big data in a cloud or on-premises environment. Develop and maintain unit tests to ensure the accuracy and reliability of data pipelines and transformations. Utilize Spark SQL for querying and managing large datasets stored in distributed systems like Hadoop or cloud storage. Monitor and troubleshoot data pipeline issues, ensuring reliability and timely delivery of data. Stay updated with the latest advancements in PySpark, Spark SQL, and big data technologies to improve existing systems.

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More about this job

Responsibilities

Develop, maintain, and optimize scalable data pipelines and ETL workflows using PySpark, Spark SQL, and Python to process large datasets. Collaborate with engineers, analysts, and stakeholders to deliver reliable data solutions, monitor pipeline performance, and troubleshoot issues.

Requirements

The role calls for practical expertise in PySpark, Spark SQL, Python, ETL workflows, and distributed data processing. It also requires the ability to optimize Spark jobs, develop unit tests, collaborate with stakeholders, and maintain reliable data pipelines.

Skills

PySpark
Spark SQL
Python
Data Pipelines
ETL
Data Transformation
Big Data Processing
Distributed Computing
Apache Hadoop
Performance Tuning
Unit Testing
Data Analysis
Troubleshooting
Cloud Storage

Visa sponsorship

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Keywords

PySpark
Spark SQL
Python
Data Pipelines
ETL
Data Manipulation
Data Analysis
Automation
Structured Data
Unstructured Data
Big Data
Distributed Computing
Apache Hadoop
Cloud Storage
On-Premises Environments
Performance Tuning
Resource Utilization
Unit Testing
Data Transformation
Pipeline Monitoring
Troubleshooting
Banking
Insurance
Financial Services

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