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Added 16 days ago
A
Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
Designing and implementing scalable data architectures (batch/streaming, lakehouse) using Azure Databricks, and PySpark
Added 16 days ago
Senior Data Engineer
Scotiabank
Toronto, ON
As a Senior Data Engineer within the Data & AI Technology team, you will play a critical leadership role in designing, building, and scaling enterprise grade data platforms. You will…
Added 16 days ago
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RQ11713 - Software Developer - ETL - Senior
Maarut
Toronto, ON
- Contract
Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
Added 16 days ago
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AML Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $85 to $103 CAD / hour
- Contract
Expert knowledge of Python, PySpark, Databricks, Azure, and SQL
Added 16 days ago
UT
AML Developer IV/Data Scientist #26-25738
US Tech Solutions
Markham, ON
- $90 to $95 CAD / hour
- Contract
Our client is seeking a senior AML Data Scientist / Developer to conduct analytical activities supporting FCRM transaction monitoring systems.
Added 16 days ago
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Full Stack Architect - MDM/Customer 360
TD
Toronto, ON
- Full-time
Added 16 days ago
R&
IT - AML Developer IV
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled IT - AML Developer IV to join our client in support of an existing vacancy.
Added 16 days ago
TC
Data Governance Lead
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong knowledge of data architecture, data modeling, ETL/ELT, APIs, batch/streaming pipelines, SQL and cloud data platforms such as Azure, AWS, Databricks or Snowflake.
Added 16 days ago
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Senior ETL Developer – Azure, AWS & Databricks
ThoughtStorm
Toronto, ON
- Contract
Job Title: Senior ETL Developer – Azure, AWS & Databricks
Added 16 days ago
EM
Consultant - PySpark / Databricks Developer (Intermediate - Senior)
Electric Mind
Toronto, ON
- Full-time
We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services / wealth management data platform. The platform ingests data from multiple…
Added 16 days ago
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Senior Manager, Application Development
CIBC
Toronto, ON
- Full-time
…design and optimization, data technology stack (informatica, Azure SQL, REST APIs), BI tools (Cognos, Power BI), Databricks for scalable ETL pipelines and data models. You have a solid…
Added 16 days ago
TC
Data & Analytics Leader- Consulting/Managing Partner)
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Proven experience defining and delivering enterprise-scale solutions on Azure, AWS, GCP, Databricks, Snowflake, and modern data platforms.
Added 16 days ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
As a Senior Data Architect, you'll lead the design and implementation of modern data platforms for enterprise clients across Energy, Financial Services, and Public Sector. You'll work…
Added 16 days ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
As an Azure Solutions Consultant, you'll design and implement modern data platforms on Azure for enterprise clients. You'll build end-to-end data pipelines, implement lakehouses, and create…
Added 17 days ago
2I
Senior ETL Developer
2iSolutions Inc.
Toronto, ON
- Contract
Our Toronto based client is hiring an Sr. ETL Developer for a 9-month contract opportunity.
Added 17 days ago
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Data Scientist
Dexian
Toronto, ON · Greater Toronto Area, Canada
- $80 to $115 CAD / hour
- Contract
Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to FCRM transaction monitoring systems.
Added 17 days ago
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Manager, Data Engineering
Avanade
Toronto, ON
- Full-time
Lead the development of data and analytics platforms, real time intelligence and reporting solutions using Python, SQL, Microsoft Azure Data Services, Fabric and Databricks.
Added 17 days ago
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Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform…
Added 17 days ago
RS
Sr Product Analyst - Rogers Sports & Media
Rogers Sports & Media
Toronto, ON
- Full-time
Experience with any of the following technologies data warehouses (Microsoft Azure), data platforms (Databricks, Snowflake), reporting tools (DOMO, PowerBI), martech (Adobe Experience…
Added 17 days ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to FCRM transaction monitoring systems.
Added 17 days ago
Platform Engineer
Scotiabank
Toronto, ON
Technical Execution: Support the design, deployment, and maintenance of Azure and Databricks platform components. Work with Azure networking/security configurations (VNets, NSGs, route…
Added 17 days ago
Senior Platform Engineer
Scotiabank
Toronto, ON
…deliverables. Align team goals with the overall direction of the Azure & Databricks Platform roadmap and enterprise…
Added 17 days 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 17 days ago
GM
Senior Data Engineering, Vehicle Data Operations
General Motors
Markham, ON · Oshawa, ON
- Full-time
The Senior Data Engineering candidate will build, operate, and improve software and data solutions that make vehicle data operations more reliable, observable, and scalable. This position…
Added 17 days ago
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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,…

ProxyLink

Senior Software Developer

Toronto, ON, Canada

$100 to $105 CAD / hour · Contract

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Job details

Pay: $100 to $105 CAD / hour
Job type: Contract
Apply by: Nov 7, 2026
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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