Job description
Data Analyst (6+ years of experience) to support enterprise data modelling, ETL/ELT development, and analytics modernization using Microsoft Fabric and Azure Synapse RFC-2026-039 Our transportation client is seeking a
Data Analyst (6+ years of experience) to support enterprise data modelling, ETL/ELT development, and analytics modernization using Microsoft Fabric and Azure Synapse
Join a large-scale Enterprise Asset Management transformation initiative focused on modernizing enterprise reporting, analytics, and operational data capabilities. This role supports enterprise data analysis, data engineering, data modelling, and data quality initiatives across operational systems, reporting environments, and Enterprise Data Warehouse remediation activities. The position works closely with business stakeholders, data engineers, architects, and reporting teams to support scalable and sustainable enterprise data solutions.
6 month Contract, high chance of extension, Vancouver, Hybrid 2 days a week, Working Hours: 37.5 hours PST
Must Haves
Hands-on experience with
Microsoft Fabric , Azure Synapse, Azure Data Factory, and Azure Data Lake Storage
Strong knowledge of
SQL
and
Data Warehousing
design
Experience with
Python , PySpark, ETL/ELT development, and enterprise data integration
Experience with
Logical and Physical Data Modeling , enterprise data architecture, and metadata repositories
Experience supporting
Data Governance , data quality frameworks, and Scrum Agile
Nice to Have
Experience with Microsoft databases
Experience with Azure Databricks and Delta Lake
Experience preparing test cases and scripts for data testing
Exposure to Power BI Report development Responsibilities
Perform enterprise data analysis and define data flows, business rules, and data requirements
Design and maintain data ingestion, transformation, and orchestration pipelines using Microsoft Fabric and Azure technologies
Develop ETL/ELT processes supporting enterprise reporting, analytics, and operational data solutions
Create and maintain conceptual, logical, physical, dimensional, and semantic data models
Assess impacts to Enterprise Data Warehouse structures, integrations, reports, dashboards, and downstream data consumers
Develop data quality monitoring procedures, validation processes, and data QA activities
Document metadata repositories, source-to-target mappings, data definitions, and SDLC data deliverables
Our transportation client is seeking a
Data Analyst (6+ years of experience) to support enterprise data modelling, ETL/ELT development, and analytics modernization using Microsoft Fabric and Azure Synapse
Join a large-scale Enterprise Asset Management transformation initiative focused on modernizing enterprise reporting, analytics, and operational data capabilities. This role supports enterprise data analysis, data engineering, data modelling, and data quality initiatives across operational systems, reporting environments, and Enterprise Data Warehouse remediation activities. The position works closely with business stakeholders, data engineers, architects, and reporting teams to support scalable and sustainable enterprise data solutions.
6 month Contract, high chance of extension, Vancouver, Hybrid 2 days a week, Working Hours: 37.5 hours PST
Must Haves
Hands-on experience with
Microsoft Fabric , Azure Synapse, Azure Data Factory, and Azure Data Lake Storage
Strong knowledge of
SQL
and
Data Warehousing
design
Experience with
Python , PySpark, ETL/ELT development, and enterprise data integration
Experience with
Logical and Physical Data Modeling , enterprise data architecture, and metadata repositories
Experience supporting
Data Governance , data quality frameworks, and Scrum Agile
Nice to Have
Experience with Microsoft databases
Experience with Azure Databricks and Delta Lake
Experience preparing test cases and scripts for data testing
Exposure to Power BI Report development
Responsibilities
Perform enterprise data analysis and define data flows, business rules, and data requirements
Design and maintain data ingestion, transformation, and orchestration pipelines using Microsoft Fabric and Azure technologies
Develop ETL/ELT processes supporting enterprise reporting, analytics, and operational data solutions
Create and maintain conceptual, logical, physical, dimensional, and semantic data models
Assess impacts to Enterprise Data Warehouse structures, integrations, reports, dashboards, and downstream data consumers
Develop data quality monitoring procedures, validation processes, and data QA activities
Document metadata repositories, source-to-target mappings, data definitions, and SDLC data deliverables
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