Jobs in Canada

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Added 1 month ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
General Motors is seeking a Senior Software Developer to build and evolve the software platforms that support production mapping, Data Over the Air (DOTA) Back Office capabilities, and…
Added 1 month ago
GM
Senior Data Engineering, Vehicle Data Operations
General Motors
Markham, ON · Oshawa, ON
- Full-time
This means the successful candidate is expected to report to the office three days per week, at minimum
Added 1 month ago
P
Senior Software Developer
ProxyLink
Toronto, ON
- $100 to $105 CAD / hour
- Contract
ProxyLink is seeking an experienced Senior Software Developer – ETL to join our team and contribute to the development, enhancement, and maintenance of enterprise-level data integration,…
Added 1 month ago
Senior Manager, Development
Scotiabank
Toronto, ON
The Senior Manager, Development – Data Engineering will provide strategic and hands‑on leadership within Scotiabank’s Data & AI Technology team. This role is accountable for leading and…
Added 1 month ago
C
Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 1 month ago
B
Software Developer - ETL - Senior
Bevertec
Toronto, ON
- Contract
Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
Added 1 month ago
Sr Product Analyst - Rogers Sports & Media
Rogers Communications
Toronto, ON
Experience with any of the following technologies: data warehouses (Microsoft Azure), data platforms (Databricks, Snowflake), reporting tools (DOMO, PowerBI), martech (Adobe Experience…
Added 1 month ago
M
RQ9 - Business Architect - Senior
Maarut
Toronto, ON
- From $101 CAD / day
- Full-time
- On-site
…including the implementation of centralized data storage using Databricks and Azure Storage, public-facing data exchange capabilities, and a cloud-based data processing and analytics…
Added 1 month ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time
Familiarité avec les technologies de données en nuage telles que AWS, Azure ou Databricks pour interroger et construire des modèles de données et des rapports.
Added 1 month ago
AS
Senior Site Reliability / DataOps Engineer
Apex Systems
Toronto, ON
- $40 to $60 CAD / hour
- Contract
…migration of a critical credit card data warehouse from Netezza to Azure Databricks . The environment contains approximately 300 TB of historical data , creating a need for a senior…
Added 1 month ago
AI
Lead Data Scientist
Alberta iGaming Corporation (AiGC)
AB · Greater Edmonton Metropolitan Area
- Full-time
Relevant certifications are an asset, such as Databricks (Machine Learning or Data Science), Microsoft Power BI or Azure, or Accredited Professional Statistician (P.Stat.).
Added 1 month ago
Senior Data Scientist
Scotiabank
Toronto, ON
Experience with DevOps tools (Git, Azure DevOps, CI/CD, Databricks Workflows, Airflow) and Docker concepts would be an asset
Added 1 month ago
T
Actuarial Analyst
TD
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
Outstanding communication skills with ability to articulate complex technical concepts to varied audiences, from technical teams to senior leadership
Added 1 month ago
C
Senior Consultant, AI Safety and Guardrails Engineering
CIBC
Toronto, ON
- Full-time
…use cases. Support teams using technologies such as Microsoft Azure and Databricks in implementing controls for lifecycle management, access governance, traceability, evaluation, and…
Added 1 month ago
F
Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
Senior-level full stack developer with Dev Lead Experience
Added 1 month ago
Senior Visualization Professional
Capgemini
Mississauga, ON
- Integrate Power BI with Azure Databricks, Fabric, SQL Server, Synapse, Snowflake, and other enterprise platforms.
Added 1 month ago
MG
Principal Engineer / Architect
Matrix Global
Toronto, ON
- Full-time
Design and implement large-scale data solutions utilizing Azure Data Lake Storage (ADLS) and Databricks.
Added 1 month ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
You will report to the Senior Manager of the AI Platform team.
Added 1 month ago
B
Manager, Architecture & Design (Enterprise Architect)
BDO
AB · Winnipeg, MB · Halifax, NS · Calgary, AB
- Full-time
Experience developing architecture and solution designs leveraging technologies such as Microsoft Azure, AWS, Microsoft Entra ID, Azure Data Factory, Databricks, Microsoft Fabric, Microsoft…
Added 1 month ago
B
Manager, Architecture & Design (Enterprise Architect)
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Vancouver, BC
- Full-time
Experience developing architecture and solution designs leveraging technologies such as Microsoft Azure, AWS, Microsoft Entra ID, Azure Data Factory, Databricks, Microsoft Fabric, Microsoft…
Added 1 month ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
Work with technologies and platforms such as Microsoft Fabric, Azure, Databricks, Snowflake, dbt, Power BI, Microsoft Purview, Azure Data Factory, Azure Synapse, Azure Machine Learning,…
Added 1 month ago
SD
Enterprise Business Architect
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
requiring candidates to be present in the office five days per week
Added 1 month ago
B
Senior Manager, Data & AI
BDO
Vancouver, BC
- Full-time
Work with technologies and platforms such as Microsoft Fabric, Azure, Databricks, Snowflake, dbt, Power BI, Microsoft Purview, Azure Data Factory, Azure Synapse, Azure Machine Learning,…
Added 1 month ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
The Data Fabric team is a cross-functional team at Kinaxis that builds a multi-tenant, multi-cloud data platform on Databricks (GCP & Azure) to connect, govern, secure, and discover data…
Added 1 month ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
Work Model: Hybrid (Downtown Toronto - 3 days in office)

ProxyLink

Senior Software Developer

Toronto, ON, Canada

$100 to $105 CAD / hour · Contract

Apply on LinkedIn About employer

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Job details

Pay: $100 to $105 CAD / hour
Job type: Contract
Posting language: English
Posted: Oct 8, 2026

Original job description

About ProxyLink

At ProxyLink, we specialize in building meaningful connections between exceptional talent and leading employers across Canada. As a trusted recruitment partner, our mission is to create impactful career matches by combining innovative hiring strategies with a personalized, people-first approach. We’re driven by the belief that investing in people today builds a stronger workforce for tomorrow.

ProxyLink is seeking an experienced Senior Software Developer – ETL to join our team and contribute to the development, enhancement, and maintenance of enterprise-level data integration, data warehousing, and business intelligence solutions.

The ideal candidate will have strong hands-on experience with Microsoft Azure data technologies, AWS data services, Databricks, SQL development, and complex ETL processes. You will play a key role in transforming business requirements into reliable, scalable, and high-quality data solutions that support reporting, analytics, and informed decision-making.

This role is well suited to a technically strong developer who enjoys solving complex data challenges, optimizing data pipelines, collaborating with business stakeholders, and delivering dependable software solutions throughout the software development lifecycle.

Key Responsibilities

ETL Development and Data Integration

Design, develop, implement, and maintain robust ETL pipelines to extract, transform, validate, and load data from multiple sources.
Build and enhance both initial and recurring data load processes for structured and semi-structured data, relational databases, and multidimensional data stores.
Develop, maintain, and optimize data integration workflows, scheduling mechanisms, job dependencies, and automated data processing routines.
Implement data cleansing, transformation, validation, and quality assurance processes to ensure data accuracy, consistency, completeness, and reliability.
Investigate data discrepancies, identify issues within existing ETL pipelines, and recommend effective solutions to minimize operational disruptions.
Maintain and enhance existing data pipelines, ensuring they remain scalable, maintainable, secure, and aligned with business needs.

Cloud Data Platforms and Database Development

Develop and maintain data solutions using Microsoft Azure technologies, including Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI.
Leverage Databricks for data processing, transformation, and integration activities.
Develop and support data solutions using AWS services, including Amazon Aurora, AWS Glue, Amazon OpenSearch, and related database and search technologies.
Design and maintain database structures, data models, data marts, and data warehouses in accordance with established architecture standards.
Write, analyze, and optimize complex SQL queries to improve database performance and support efficient data retrieval.
Apply database development, administration, and performance-tuning best practices to ensure reliable data operations.

Software Development and Quality Assurance

Translate technical specifications and business requirements into functional, tested, and maintainable applications.
Write high-quality, reusable, and well-documented code using appropriate design patterns and development standards.
Design, code, compile, test, debug, and maintain ETL applications and supporting software components.
Conduct unit testing, troubleshoot technical issues, and resolve defects throughout the development and implementation process.
Participate in development, testing, quality assurance, deployment, migration, and post-implementation support activities.
Use Git and established source control practices to manage code changes, collaborate with development teams, and maintain version history.
Contribute to continuous improvement by identifying opportunities to enhance system performance, automation, reliability, and maintainability.

Data Modeling, Documentation, and Reporting

Develop and maintain technical documentation, including ETL source-to-target mappings, data model diagrams, architecture artifacts, technical specifications, and detailed design documents.
Document data flows, transformation rules, scheduling dependencies, business logic, and system processes to support ongoing maintenance and knowledge transfer.
Collaborate with business analysts, data architects, database administrators, developers, and other stakeholders to understand data requirements and deliver effective solutions.
Support the development of dashboards, scheduled reports, ad hoc reports, and key performance indicator (KPI) visualizations using Power BI and related reporting tools.
Ensure data solutions meet business expectations and established quality, performance, and documentation standards.

Collaboration and Stakeholder Engagement

Work closely with technical teams and business stakeholders to gather, clarify, document, and validate requirements.
Translate complex technical concepts into clear, understandable information for both technical and non-technical audiences.
Participate in technical discussions, design walkthroughs, code reviews, and solution planning sessions.
Provide technical assistance during system implementation, data migration, deployment, and operational support.
Manage competing priorities effectively while meeting project milestones, delivery commitments, and deadlines.

Required Qualifications and Technical Skills

Cloud and Data Engineering

Candidates should have demonstrated hands-on experience with the following technologies and capabilities:

Microsoft Azure: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI.
Databricks: Data processing, transformation, and integration using the Databricks platform.
Amazon Web Services (AWS): AWS Glue, Amazon Aurora, Amazon OpenSearch, and related database, search, and data integration services.
ETL Development: Designing, developing, testing, implementing, and maintaining end-to-end ETL pipelines.
Data Integration: Working with structured and semi-structured files, relational databases, and multidimensional data stores.
Workflow Orchestration: Implementing and maintaining ETL scheduling, job dependencies, and recurring data load processes.
Data Quality: Performing data cleansing, validation, reconciliation, and troubleshooting to maintain high-quality data.
Data Warehousing: Applying data modeling and design principles for data warehouses, data marts, and business intelligence solutions.
SQL Development: Constructing complex SQL queries, optimizing query execution, and performing database performance tuning.
Database Administration: Understanding database management, maintenance, and operational best practices.

Software Engineering and Development Practices

Experience working through the full software development lifecycle, from requirements gathering and development to testing, quality assurance, delivery, and maintenance.
Proficiency in programming, application design, debugging, testing, and technical troubleshooting.
Experience using Git and source control strategies in collaborative development environments.
Knowledge of software design patterns, coding standards, application deployment, and production support.
Ability to prepare detailed technical documentation and maintain accurate system records.
Experience translating technical specifications and business requirements into functional software solutions.

Business Analysis and Communication

Experience eliciting, documenting, analyzing, and validating business and technical requirements.
Ability to collaborate effectively with business stakeholders, subject matter experts, and multidisciplinary IT teams.
Strong analytical, problem-solving, decision-making, and organizational skills.
Excellent verbal and written communication skills, with the ability to explain technical information clearly.
A collaborative, detail-oriented approach and a demonstrated ability to meet deadlines in a structured project environment.

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More about this job

Responsibilities

Design, develop, test, and maintain scalable ETL pipelines and cloud-based data integration, warehousing, and reporting solutions using Azure, AWS, Databricks, SQL, and Power BI. Collaborate with technical teams and business stakeholders to document requirements, ensure data quality, troubleshoot issues, and support deployment and ongoing operations.

Requirements

The role requires hands-on experience with Azure data services, Databricks, AWS data services, complex SQL, ETL pipelines, data warehousing, and data quality practices. Candidates should also have full software development lifecycle experience, Git proficiency, strong documentation and communication skills, and the ability to translate business requirements into reliable solutions.

Skills

ETL Development
Microsoft Azure
Azure Data Factory
Azure SQL Database
Azure Data Lake
Databricks
Amazon Web Services
AWS Glue
Amazon Aurora
Amazon OpenSearch
SQL Development
Data Warehousing
Data Modeling
Power BI
Git
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

ETL
Data Integration
Data Warehousing
Business Intelligence
Microsoft Azure
Azure Data Factory
Azure SQL Database
Azure Data Lake
Databricks
Amazon Web Services
AWS Glue
Amazon Aurora
Amazon OpenSearch
SQL
Power BI
Data Modeling
Data Marts
Data Quality
Workflow Orchestration
Relational Databases
Semi-Structured Data
Multidimensional Data Stores
Git
Unit Testing
Database Performance Tuning
Source-To-Target Mapping
Data Migration
Technical Documentation
Stakeholder Collaboration

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Jobs in Canada