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Python Certification Jobs in Ontario (NOW HIRING)

25-125 FinOps Engineer

Pickering, ON ยท Remote

$80 - $95/hr

Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and ... FinOps Certified Practictioner or Microsoft Azure certifications are a plus Experience - 2+ years ...

Strong skills in SQL, Python. * Experience with data modeling, integration, and governance ... SnowPro certification or other Snowflake credentials. * Certifications in AWS, Azure, or GCP ...

... Python, Powershell, Ansible, Terraform or similar) Nice to Have Skills & Experience โ€ข 2+ years Openshift experience โ€ข Certifications: Relevant VMware certifications (VCP, VCAP, or equivalent) is ...

New

CA$70 - CA$80/hr

Proficient in Python, Go * Infrastructure as Code experience (Ansible/Terraform) * Exposure to AI ... Github Actions * Develop and maintain a user interface for managing platform certification ...

Data Engineer

Toronto, ON ยท On-site +1

CA$105.10K - CA$129.40K/yr

... Python to design, build, and operate scalable, secure, and analytics-ready data platforms on ... Active Databricks Data Engineer certification is mandatory. Key Responsibilities Design, develop ...

CFA, FRM, CQF (Certificate in Quantitative Finance). Skills Summary Must-Have: * Quantitative Development & Methodologies * Python * NoSQL Databases * Financial Modeling & Risk Management Nice to ...

The ideal candidate will have a strong background in automation using shell scripts and Python, and ... Microsoft certifications such as Windows Server Hybrid Administrator Associate, Azure Administrator ...

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Python Certification information

See Ontario salary details

$20.5K

$94.1K

$180K

How much do python certification jobs pay per year?

As of May 29, 2026, the average yearly pay for python certification in Ontario is $94,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $134,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

To thrive as a Python Developer, you need strong proficiency in Python programming, a solid understanding of algorithms, data structures, and often a relevant degree in computer science or a related field. Familiarity with development frameworks (like Django or Flask), version control systems such as Git, and relevant Python certifications are commonly expected. Problem-solving ability, adaptability, and effective communication are valuable soft skills that set top candidates apart. These competencies enable developers to write efficient, maintainable code and collaborate well within development teams on complex projects.

What types of projects or tasks can I expect to work on after earning a Python certification?

After earning a Python certification, you can expect to work on a variety of projects, ranging from web application development to data analysis and automation tasks. Many teams utilize Python for scripting workflows, managing databases, building APIs, or developing machine learning models. The exact nature of your work will often depend on the industry and organization, but collaboration with other developers, data analysts, or IT professionals is common. Certified Python professionals are frequently trusted with higher responsibility, including contributing to code reviews and designing scalable solutions.

What is a Python certification and why is it important?

A Python certification is an official credential that demonstrates a person's proficiency and knowledge in the Python programming language. Earning a certification can help validate your skills to employers, making you stand out in the job market. It often covers topics such as syntax, data structures, algorithms, and usage of Python libraries. Obtaining a certification can also provide structured learning and boost your confidence in applying Python in real-world projects. While not always required, it can be particularly beneficial for those new to programming or seeking to advance their careers.

What is the difference between Python Certification vs Data Analyst?

AspectPython CertificationData Analyst
Required CredentialsCertification in Python programmingDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware development, automation, scriptingData analysis, reporting, business insights
Industry UsageTech, finance, automationBusiness, marketing, finance
Search & Comparison IntentLearning Python skills, certification benefitsUnderstanding roles, skills, and certifications for data analysis

Python Certification focuses on validating Python programming skills, often used in software development and automation. Data Analysts utilize Python for data manipulation and analysis but typically require a broader skill set including statistical knowledge and domain expertise. While Python Certification enhances technical credentials, Data Analyst roles emphasize a combination of technical and analytical skills. Both are valuable in data-driven industries, but they serve different career paths and skill requirements.

What job categories do people searching Python Certification jobs in Ontario look for? The top searched job categories for Python Certification jobs in Ontario are:
What cities in Ontario are hiring for Python Certification jobs? Cities in Ontario with the most Python Certification job openings:

25-125 FinOps Engineer

Morson Talent

Pickering, ON โ€ข Remote

$80 - $95/hr

Other

Posted 8 days ago


Job description

Job Description Title: FinOps Engineer 25-125 Resume Due Date: Wednesday Feb 4th (5:00PM EST) Number of Vacancies: 1 Level: MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp: 889 Brock Road Base: 1908 Colonel Sam Drive, (alternate week) Job Overview The FinOps Engineer/Practitioner is responsible for implementing and operating cloud financial management (FinOps) practices with a strong focus on Microsoft Azure. This role works closely with engineering, finance, and product teams to drive cost optimization, create transparency, and embed financial accountability into cloud operations. The FinOps Engineer leverages Azure DevOps for workflow management, Grafana for building dashboards, and Python for ETL, automation, and data analysis.

Responsibilities will include: Cost Optimization: Analyze Azure cloud usage and spend to identify and implement cost-saving opportunities, including rightsizing, reservations, and eliminating waste. Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and aggregate Azure cost and usage data from multiple sources. Dashboarding & Reporting: Develop and maintain Grafana dashboards that provide actionable insights into cloud spend, usage trends, and optimization opportunities.

Backlog Contribution: Work with the FinOps Product Owner to define, estimate, and deliver backlog items in Azure DevOps, contributing technical expertise to product planning. Automation: Automate routine FinOps tasks such as tagging enforcement, anomaly detection, and cost allocations. Collaboration: Partner with engineering, finance, and procurement teams to support budgeting, forecasting, and chargeback processes.

Documentation: Create and maintain documentation for FinOps processes, tools, and best practices. Education: Advocate for FinOps best practices across the organization, helping teams understand the financial impact of their cloud usage. Governance & Compliance: Support governance and policy enforcement to ensure cloud resources are compliant with organizational standards.

Qualifications Education: Bachelor's degree in Computer Science, Software Engineering, Finance, or related field. FinOps Certified Practictioner or Microsoft Azure certifications are a plus Experience - 2+ years in cloud engineering, DevOps, data engineering, platform engineering or cloud financial management, with hands-on experience in Microsoft Azure. Skills: Strong working knowledge of Azure services, billing, pricing, and cost management.

Proficiency in Python for data processing, automation, ETL and API Integrations. Experience working with large datasets and formats such as JSON, CSV, and Parquet Strong understanding of REST APIs, data ingestion, and service-to-service integrations. Experience with Grafana for building dashboards and reports.

Proficiency with KQL for analytics, dashboarding, and data exploration. Experience with PowerShell for scripting and automation tasks. Familiarity with Azure DevOps for backlog and workflow management.

Solid understanding of cloud cost optimization strategies and tools. Analytical mindset with strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities.

Additional skills in Azure Data Factory, Databricks, SaaS/platform devleopment, or distributed data processing are a plus. Solid understanding of cloud cost optimization strategies and tools. Analytical mindset with strong problem-solving skills.

Excellent communication and collaboration abilities. Additional skills in Azure Data Factory, Databricks, Parquet are a plus. "Please note, this is a real and current job vacancy.

Morson Edge does not use artificial intelligence to screen or select candidates."