Data Analyst (6+ years of experience) to support enterprise data modelling, ETL/ELT development, and

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

#J-18808-Ljbffr