MS Fabric Data Engineer
- Toronto, ON, Canada
- North York, ON, Canada
$70 to $80 CAD / hour · Contract
Applications open in a new tab.
Job details
- Pay
- $70 to $80 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 5+ years of hands-on data engineering experience, with strong data engineering and data management fundamentals.
- Posting language
- English
- Posted
Original job description
Location: North York, Ontario (3-4x week)
Duration: 6 months+ ext
About the Opportunity
Are you a hands-on Data Engineer who enjoys solving complex data challenges and building reliable solutions? An organization undergoing a major data modernization initiative is looking for someone to help transform and migrate enterprise data while supporting the development of a modern Microsoft Fabric environment.
You’ll work alongside Data Leads, Architects, Business Analysts, technical teams, and System Integrators to move data from legacy and enterprise systems into modern cloud platforms. This is an opportunity to contribute to meaningful data transformation work where data quality, accuracy, and reliable delivery are key to the success of the project.
What’s In It for You
- Work on a large-scale data modernization initiative with exposure to modern Microsoft data technologies.
- Gain hands-on experience across data migration, integration, transformation, and analytics.
- Collaborate with experienced technical and business teams in a highly cross-functional environment.
- Contribute to solutions that improve how enterprise data is structured, governed, and used.
Your Responsibilities
- You’ll design, develop, and support scalable data pipelines for enterprise data integration and migration.
- You’ll use scripting and SQL to extract, transform, validate, and reconcile data from multiple sources.
- You’ll develop and support data solutions within the Microsoft Fabric ecosystem, including modern cloud-based data platforms.
- You’ll perform data mapping, transformation, cleansing, and schema alignment across legacy and modern data environments.
- You’ll implement data quality, reconciliation, monitoring, and validation processes to maintain data integrity.
- You’ll collaborate with technical and business stakeholders to document requirements, migration processes, technical solutions, and operational procedures.
Skills and Qualifications
- 5+ years of hands-on data engineering experience, with strong data engineering and data management fundamentals.
- Hands-on scripting experience with SQL/T-SQL, Python, PySpark, or similar technologies, along with practical data migration development experience.
- Hands-on Microsoft Fabric experience, with an understanding of Lakehouse, Warehouse, OneLake, Fabric Data Factory, or related Fabric capabilities.
- Strong experience developing ETL/ELT pipelines and integrating, transforming, and migrating data across enterprise systems.
- Experience with data modelling, data warehousing, data quality, governance, reconciliation, and large-scale datasets.
- Experience with Azure data services, particularly Azure Data Factory, with exposure to Dataverse, Dynamics 365, SSIS, SSAS, or Dataiku considered an asset.
- Strong communication, problem-solving, attention to detail, and ability to work effectively with technical and business stakeholders.
Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.
More about this job
Responsibilities
Design, develop, and support scalable data pipelines to integrate and migrate enterprise data into modern cloud platforms, including Microsoft Fabric. Perform data mapping, transformation, cleansing, validation, and reconciliation, while documenting requirements and technical and operational processes with business and technical stakeholders.
Requirements
Requires 5+ years of hands-on data engineering experience, practical data migration development, and proficiency with SQL/T-SQL, Python, PySpark, and Microsoft Fabric capabilities. Candidates should have experience with ETL/ELT, enterprise data integration, modeling, warehousing, data quality, and governance; Azure Data Factory experience is particularly relevant.
Skills
- Microsoft Fabric
- SQL/T-SQL
- Python
- PySpark
- Data Engineering
- Data Migration
- ETL/ELT Pipelines
- Data Integration
- Data Transformation
- Data Modeling
- Data Warehousing
- Data Quality
- Data Governance
- Azure Data Factory
- Data Reconciliation
- Stakeholder Communication
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
Keywords
- Microsoft Fabric
- Lakehouse
- Warehouse
- OneLake
- Fabric Data Factory
- Azure Data Factory
- Dataverse
- Dynamics 365
- SSIS
- SSAS
- Dataiku
- SQL/T-SQL
- Python
- PySpark
- Data Engineering
- Data Migration
- ETL/ELT
- Data Pipelines
- Data Integration
- Data Transformation
- Data Mapping
- Data Cleansing
- Schema Alignment
- Data Modeling
- Data Warehousing
- Data Quality
- Data Governance
- Data Reconciliation
- Data Validation
- Data Monitoring