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Added 33 mins ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Based in Montreal, this role sits at the intersection of Data Management, MLOps, and enterprise hybrid-cloud platform engineering. You will help design, build, and operate the foundational…
Added 1 hour ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Identifies, documents, and tracks software defects using tools like ALM, JIRA, Bugzilla, and Azure DevOps.
Added 1 hour ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Identifies, documents, and tracks software defects using tools like ALM, JIRA, Bugzilla, and Azure DevOps.
Added 3 hours ago
CS
Lead Java Developer
Cyber Space Technologies Pvt. Ltd
Montreal, QC
- Contract
…services organization focused on delivering robust, scalable software solutions to clients across industries. The company emphasizes modern engineering practices, including cloud-native…
Added 3 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 3 hours ago
S
IT Cloud & DevOps Engineer
Survalent
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Build the technology powering critical utility infrastructure. Survalent is seeking a Cloud & DevOps Engineer to design, secure, and optimize cloud environments across Azure, AWS, and OT…
Added 7 hours ago
ZS
Chatbot Content Developer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Collaborate with engineering and DevOps teams to improve chatbot knowledge sources.
Added 7 hours ago
ZS
Python Developer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Collaborate with data engineers, software developers, DevOps teams, and other stakeholders to deliver reliable data solutions.
Added 7 hours ago
AI
Test Automation Lead – Playwright
Aptino, Inc.
ON · Ontario, Canada
- Contract
Experience: 10+ years in Software Testing / Quality Engineering
Added 7 hours ago
KG
Agent & DevOps Platform Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
Added 7 hours ago
KG
AI Platform Engineer – DevOps & LLMOps
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: AI Platform Engineer – DevOps & LLMOps
Added 7 hours ago
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Director, Partner Solution Engineer
Docker
Remote, Canada
- Full-time
- Remote
As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve…
Added 7 hours ago
HR
Software Analyst (SWAT), Senior
Hitachi Rail
Toronto, ON
- Full-time
Experience with modern software development methodology, processes, and tools (Agile, SCRUM, DevOps,JIRA)
Added 10 hours ago
GM
DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
- Full-time
As a Software Quality Automation Developer, you will be responsible for design and development of internal platforms, tools and automation frameworks that support engineering teams across…
Added 10 hours ago
GM
Senior DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
- Full-time
As a Senior Software Quality Automation Developer, you will Lead the design and development of internal platforms, tools and automation frameworks that support engineering teams across the…
Added 12 hours ago
C
Lead Full Stack Developer, Vice President
Citi
Mississauga, ON
- Full-time
The Lead Full Stack Developer will join Client Technology - a business-focused engineering division within Services Markets Banking (SMB) - where you will design and deliver…
Added 12 hours ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 12 hours ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience using Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 12 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Use Computer-Aided Software Engineering (CASE) tools to document conceptual requirements and project scope.
Added 12 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Use Computer-Aided Software Engineering (CASE) tools to document conceptual requirements and project scope.
Added 12 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Use Computer-Aided Software Engineering (CASE) tools to document conceptual requirements and project scope.
Added 12 hours ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 12 hours ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 12 hours ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience using Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 12 hours ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.

Zodiac Solutions, Inc

Python Developer

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 11, 2026
Posting language: English
Posted: Oct 12, 2026

Original job description

Role: Python Developer – Data Engineering

Location: Toronto, ON (4 days hybrid)

Fulltime

Responsibilities:

Develop and optimize data manipulation and transformation workflows using pandas and Polars.
Design, build, and maintain efficient data processing pipelines for large-scale datasets.
Optimize Python code and data workflows for performance, scalability, and memory efficiency.
Develop containerized applications using Docker and deploy scalable services using Kubernetes.
Build and maintain data pipelines integrated with ClickHouse or similar columnar databases for analytical workloads.
Design and implement event-driven architectures using NATS for asynchronous data processing and messaging.
Develop distributed computing solutions using Dask to process datasets that exceed single-machine memory limitations.
Write and maintain comprehensive unit and integration tests using pytest.
Maintain high code quality, test coverage, reliability, and performance standards.
Use Git for version control and follow established branching, code review, and collaboration practices.
Collaborate with data engineers, software developers, DevOps teams, and other stakeholders to deliver reliable data solutions.
Troubleshoot production issues and support the continuous improvement of data engineering processes.

Requirements:

Bachelor’s degree in computer science or Diploma in IT with equivalent experience.

Python and Data Processing

Advanced proficiency in Python.
Strong experience with pandas and Polars for data manipulation, transformation, and analysis.
Experience working with large datasets and optimizing code for performance and memory usage.
Strong understanding of Python development best practices, object-oriented programming, and clean code principles.

Containerization and Orchestration

Hands-on experience building and managing container images using Docker.
Experience creating and maintaining multi-container applications.
Working knowledge of Kubernetes for container orchestration, deployment, scaling, and service management.

Data Infrastructure

Experience with ClickHouse or a similar columnar database.
Understanding of OLAP workloads, analytical queries, data modeling, and query optimization.
Experience designing data pipelines for analytical and reporting use cases.

Messaging and Streaming

Familiarity with NATS.io and message-driven architectures.
Understanding of asynchronous processing, event-driven systems, messaging patterns, and distributed workflows.

Testing and Quality Assurance

Proficiency with pytest.
Experience writing unit tests, integration tests, and regression tests.
Understanding of test coverage, mocking, test automation, and quality assurance practices.

Distributed Computing

Experience with Dask for parallel processing and out-of-core computation.
Understanding of distributed data processing and techniques for handling datasets that exceed available system memory.

Version Control

Strong command of Git, including branching strategies, pull requests, code reviews, merging, and conflict resolution.
Experience collaborating through shared code repositories and following software development best practices.

Apply About employer

More about this job

Responsibilities

Develop and optimize scalable data processing pipelines for large datasets, using Python, pandas, Polars, Dask, and ClickHouse or similar databases. Build containerized and event-driven services, maintain tests and code quality, and collaborate with engineering and DevOps teams to troubleshoot production issues and improve data processes.

Requirements

Requires advanced Python proficiency and experience with data processing, pandas and Polars, performance optimization, Docker, Kubernetes, analytical databases, messaging systems, Dask, pytest, and Git. Requires a bachelor’s degree in computer science or an IT diploma with equivalent experience.

Skills

Python
Pandas
Polars
Data Pipeline Development
Docker
Kubernetes
ClickHouse
NATS
Dask
Pytest
Git
Distributed Computing
Data Modeling
Performance Optimization
Event-Driven Architecture
Data Processing

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Polars
Data Engineering
Data Processing Pipelines
Large-Scale Datasets
Performance Optimization
Memory Efficiency
Docker
Kubernetes
ClickHouse
Columnar Databases
OLAP
NATS
Event-Driven Architecture
Asynchronous Processing
Dask
Distributed Computing
Out-of-Core Computation
Pytest
Unit Testing
Integration Testing
Regression Testing
Git
Data Modeling
Query Optimization
Containerization
Data Transformation
Production Troubleshooting

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