Data Engineer
- Toronto, ON, Canada
$50 to $53 CAD / hour · Contract
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Job details
- Pay
- $50 to $53 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 5+ years of experience as a Data Engineer
- Posting language
- English
- Posted
Original job description
Role: Data Engineer
Type: 6 month contract
Location: Hybrid 2x/week in Toronto, ON
Rate: $50-$53/hr
Job Description
Insight Global is looking for Data Engineers to join a leading bank based in Toronto on a contract basis. The success candidate will be responsible for designing, building, and maintaining scalable data pipelines and integration solutions that support enterprise reporting, analytics, and business operations. This role works closely with data architects, BI engineers, and business stakeholders to transform data from multiple source systems into trusted, high-quality datasets.
Required Skills & Experience
- 5+ years of experience as a Data Engineer
- Proficient in T-SQL, Pyspark, Mapping Dataflow and Python programming language
- Data governance framework knowledge
- Hands-on experience with Azure data services, including Azure Data Factory, Azure Data Lake, Azure Function App, Azure Logic App, Azure SQL Database, Azure Synapse Analytics, mapping dataflow, and Event Hub Experience with Denodo for data virtualization
Nice to Have Skills & Experience
- Microsoft Fabric GCP
We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.
More about this job
Responsibilities
Design, build, and maintain scalable data pipelines and integration solutions for enterprise reporting, analytics, and business operations. Collaborate with data architects, BI engineers, and business stakeholders to transform data from multiple source systems into trusted, high-quality datasets.
Requirements
Requires at least five years of data engineering experience, proficiency in T-SQL, PySpark, Mapping Dataflow, and Python, and knowledge of data governance frameworks. Hands-on experience with Azure data services and Denodo for data virtualization is required; Microsoft Fabric and Google Cloud Platform are nice to have.
Skills
- T-SQL
- PySpark
- Mapping Dataflow
- Python
- Data Governance
- Azure Data Factory
- Azure Data Lake
- Azure Function App
- Azure Logic App
- Azure SQL Database
- Azure Synapse Analytics
- Event Hub
- Denodo
- Microsoft Fabric
- Google Cloud Platform
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- Data Engineering
- Data Pipelines
- Data Integration
- Enterprise Reporting
- Analytics
- Business Operations
- Data Governance
- T-SQL
- PySpark
- Mapping Dataflow
- Python
- Azure Data Factory
- Azure Data Lake
- Azure Function App
- Azure Logic App
- Azure SQL Database
- Azure Synapse Analytics
- Event Hub
- Denodo
- Data Virtualization
- Microsoft Fabric
- Google Cloud Platform
- Banking
- Business Intelligence