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Full Time Azure Data Factory Jobs in Toronto, ON

Manulife

Data Engineer

Toronto, ON · On-site

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services * Develop and maintain the company's data architecture, including data ...

Manulife

Data Engineer

Toronto, ON

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services * Develop and maintain the company's data architecture, including data ...

IKO Industries, Inc

Senior Data Engineer

Mississauga, ON · On-site

CA$130K - CA$140K/yr

Develop and optimize ETL/ELT pipelines using modern data integration solutions like Azure Data Factory to integrate complex data sources, ensuring accuracy, reliability, and performance. * Ensure ...

Alquemy

Site Reliability Engineer

Toronto, ON · On-site

Monitor and support live data pipelines and data platform components Troubleshoot failed jobs, incidents and data-related issues Support ETL/ELT processes using Azure Data Factory, Synapse Analytics ...

GEI Consultants

Data Engineer

Concord, ON · On-site

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

GEI Consultants

Data Engineer

Markham, ON · On-site

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Collibra, and Power Bl. Work within the agile SCRUM work management ...

Scotiabank

Associate Data Engineer

Toronto, ON · On-site

Support cloud and hybrid data platforms including Azure Data Factory pipelines and Power BI Report Server, handling deployments and troubleshooting. * Ensure compliance with data governance and ...

Morson Talent

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power Bl Work within the agile SCRUM work ...

Scotiabank

Data Engineer

Toronto, ON · On-site

Strong hands-on experience with Azure cloud data services, including Azure Data Lake Storage , azure data factory, and related cloud-native data platform components. * Strong experience with ...

Morson Talent

25-125 FinOps Engineer

Pickering, ON · Remote

$80 - $95/hr

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.

Hire DigITalent

Data Engineering Lead

Toronto, ON

Deep hands-on experience with orchestration and deployment tools (e.g., Apache Airflow, Azure Data Factory, Git, and CI/CD frameworks). * Data Design: Strong grasp of data modeling methodologies ...

Td

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

Azure skills is required, including provisioning, Configuring, and Developing solutions in Azure Data Bricks, Azure Data Factory, Python. * Nice to have hands-on experience using MS SQL Server or ...

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Showing results 21-40

All JobsAzure Data Factory JobsFull Time Azure Data Factory JobsFull Time Azure Data Factory Jobs in Toronto, ON

Full Time Azure Data Factory information

What is a full time Azure Data Factory job?

Full Time Azure Data Factory jobs are positions where professionals work exclusively with Microsoft Azure Data Factory (ADF), a cloud-based data integration service. These roles typically involve designing, building, and managing data pipelines to move and transform data across various sources in the cloud. Employees in these jobs often collaborate with data engineers, analysts, and other IT staff to ensure efficient data workflows and solutions. Working full-time means the individual is employed on a standard work schedule, usually 40 hours per week, focusing solely on Azure Data Factory-related tasks.

What are the key skills and qualifications needed to thrive as a full time Azure Data Factory professional?

To thrive as a Full Time Azure Data Factory professional, you need strong expertise in data integration, ETL processes, and SQL, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with teams and addressing complex data challenges. Mastering these skills ensures efficient data pipeline development, reliable data management, and successful delivery of business intelligence solutions.

What are some common challenges faced by professionals working full time with Azure Data Factory, and how can they be addressed?

Full-time Azure Data Factory professionals often encounter challenges such as orchestrating complex data workflows, managing data integration across diverse sources, and ensuring data pipeline reliability. Navigating frequent updates to cloud services and maintaining robust security and compliance can also add complexity. These challenges can be addressed by staying updated with Azure documentation, leveraging built-in monitoring and error-handling features, and actively collaborating with data engineers, architects, and business analysts to align on data requirements and best practices.

What is the difference between Full Time Azure Data Factory vs Data Engineer?

AspectFull Time Azure Data FactoryData Engineer
Required SkillsAzure Data Factory, ETL, cloud data integrationSQL, Python, ETL, cloud platforms
CertificationsAzure Data Engineer Associate, Azure certificationsNone specific, often cloud or data certifications
Work EnvironmentCloud-based data integration projectsData pipeline development, database management
Industry UsageData integration roles in cloud-focused companiesData infrastructure across various industries

Full Time Azure Data Factory roles focus on cloud-based data integration using Azure services, often requiring specific certifications. Data Engineers have broader responsibilities in building and maintaining data pipelines across platforms, with skills in SQL and programming. Both roles are essential in data-driven organizations but differ in scope and technical focus.

What are the most commonly searched types of Azure Data Factory jobs in Toronto, ON?

The most popular types of Azure Data Factory jobs in Toronto, ON are:

What are popular job titles related to Full Time Azure Data Factory jobs in Toronto, ON?

For Full Time Azure Data Factory jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Full Time Azure Data Factory jobs in Toronto, ON look for?

The top searched job categories for Full Time Azure Data Factory jobs in Toronto, ON are:

Full Time Azure Data Factory jobs near you

Data Engineer

Manulife

Toronto, ON • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Key responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services

  • Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries

  • Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use

Job description

Join our team at Manulife in Waterloo (ON) and be part of a team that strives for excellence, where your efforts will directly contribute to our success. Here, your work will have an important impact, and you'll be empowered to make decisions that improve our marketing strategies and customer experience.

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governanceteamin designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.

This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.

Position Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services

  • Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.

  • Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use

  • Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.

  • Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.

  • Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.

  • Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.

Required Qualifications

  • 4 or more years of relevant industry experience as a Data Engineer.

  • Experience building and operationalizing data pipelines in Microsoft Azure using Azure Data Factory and Azure Databricks.

  • Experience implementing and supporting data governance solutions using Databricks Unity Catalog, including metadata management, data lineage, auditing, fine-grained access controls, data discovery, and secure data sharing across enterprise data environments.

  • Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines.

  • Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server) and designing scalable data ecosystems.

  • Strong understanding of data warehousing concepts and relational data modeling.

  • Experience with programming languages such as Python, SQL, Java, and/or Scala.

  • Understanding of Agile Scrum methodologies and experience working within Agile teams.

  • Experience in data processing, performance tuning, monitoring, and capacity planning.

Preferred Qualifications:

  • Excellent communication and interpersonal skills

  • Excellent analytical, problem solving and solutioning skills

  • A capacity for constant learning from both success and failure, remaining open to change and continuous improvement

  • Familiarity with production release and operational support model

When you join our team:

  • We'll empower you to learn and grow the career you want.

  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

  • As part of our distributed team, we'll support you in crafting the future you want to see!

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Waterloo, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$86,100.00 CAD - $136,100.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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