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Azure Big Data Engineer Jobs in Toronto, ON (NOW HIRING)

Centraprise

Big Data Engineer

Toronto, ON

Big Data Engineer Employment Type : T4 - Contract Location : Toronto, ON (Onsite) : Skills - Well versed with Data , ETL Processes, SQL and high-level programming languages such Scala, Java ...

TMX Group

Big Data Engineer

Toronto, ON · Hybrid

We are seeking a seasoned and motivated Big Data Engineer to join our growing Enterprise Data and Advanced Analytics Platform team. The ideal candidate is an expert data pipeline builder and data ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Design, implement, and optimize big data pipelines in Databricks. * Develop scalable ETL workflows ... Experience with cloud platforms (AWS, Azure, or GCP) for data engineering. * Strong knowledge of ET ...

KPMG

Senior Consultant, Azure Data Engineer

Toronto, ON · On-site

Build and maintain data solutions with Azure Synapse Analytics for big data analytics and reporting ... Certification in Azure Data Engineer Associate or Azure AI Engineer Associate is an asset but not ...

TechBlocks

Data Engineer

Vaughan, ON · On-site

The ideal candidate will have experience working with Python and big data technologies such as ... Comfortable using Azure DevOps or similar CI/CD tools, Git. * Experience with TDD, agile software ...

Scotiabank

Data Engineer

Toronto, ON

This role will focus on modern data engineering practices, including Azure, Databricks, Unity ... Working knowledge of Java and/or Scala, especially in Spark or big data processing environments.

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be ... Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical ...

Manulife

Data Engineer

Toronto, ON

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks ... Ability to learn and implement best practices of big data and cloud computing to ensure solutions ...

Manulife

Data Engineer

Toronto, ON · On-site

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks ... Ability to learn and implement best practices of big data and cloud computing to ensure solutions ...

Td

Data Engineer I

Toronto, ON · Remote

CA$69K - CA$98K/yr

Azure Data Factory (ADF) * Big Data/ETL/Data Engineering concepts * GitHub or Bitbucket * Strong analytical and problem-solving skills Nice to Have: * Delta Lake * Unity Catalog * CI/CD and DevOps ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be ... Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical ...

Royal Bank of Canada

Staff Data Engineer

Toronto, ON · On-site

Manage Azure Databricks clusters, compute resources, and workspace optimization for scalable data ... Opportunities to do challenging work Job Skills Big Data Management, Cloud Computing, Database ...

MPA Recruitment

Data Engineer

Toronto, ON · On-site

... Big Data technologies. The role encompasses the full software lifecycle including design, code ... Azure, GCP, Databricks. • Experience of developing substantial components for large-scale data ...

I-cube Software Llc

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

Hybrid Hadoop Engineer and Hadoop Infrastructure Administrator to build and maintain a scalable and resilient Big Data framework to support Data Scientists. As an administrator, your responsibility ...

GEI Consultants

Data Engineer

Concord, ON · On-site

CA$90K - CA$150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Markham, ON · On-site

CA$90K - CA$150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Bits In Glass

Sr. Data Engineer

Toronto, ON · Remote

... BIG impact. Our growing team has earned global recognition as a Great Place to Work and received ... Experience in designing and implementing CI/CD pipelines (using tools like Azure DevOps, GitHub ...

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Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

What are popular job titles related to Azure Big Data Engineer jobs in Toronto, ON?

For Azure Big Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Azure Big Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Azure Big Data Engineer jobs in Toronto, ON are:

Azure Big Data Engineer jobs near you
Infographic showing various Azure Big Data Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Big Data Engineer

Centraprise

Toronto, ON

Full-time

Posted 8 days ago

Job description

Job Title : Big Data Engineer

Employment Type : T4 - Contract

Location: Toronto, ON (Onsite)


Job Description :


Skills – Well versed with Data , ETL Processes, SQL and high-level programming languages such Scala, Java, DevSecOps


Detailed Job Description:


What will you do?


· Work within an Agile cross functional team to design, develop and maintain data ingestion flows and evolve the platform to orchestrate them.

· Design and implement data pipelines, framework and ETL processes.

· Ensure data quality, security, and performance.

· Develop and optimize SQL queries, stored procedures, and views.

· Integrate Snowflake with other data sources and BI tools.

· Monitor and troubleshoot data jobs and platform issues.

· Develop and maintain comprehensive documentation for data pipelines, transformations, and data models.


What do you need to succeed?


· 8+ years of Experience with Big Data technologies used for ETL: Hadoop, Spark, Hive

· Well versed with Snowflake Platform.

· Strong SQL skills and knowledge of data modeling.

· Programming Experience with Scala or Java an API Development.

· Experience with ETL tools (e.g., Informatica, Talend, Apache Airflow).

· Familiarity with any of the cloud platforms (Preferably AWS).

· Knowledge on Gen AI to generate code and improve developer proficiency

· Knowledge of Python or other scripting languages is a plus.

· Excellent problem-solving and communication skills.

· Knowledge of SCM, Infrastructure-as-code, and CI/CD pipelines.


Nice to Have

· Experience with workflow management tools like: Apache Airflow

· Experience with Continuous Integration tools – Git Actions, GitHub, Automated Testing tools, Git, or similar tools.

· Experience with Docker/Kubernetes/Containers/OCP4

· Shell Scripting

Bachelor’s or master’s degree in computer science, Data Engineering and, or a related field.

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