Cloud Data Engineer (5+ years) to configure cloud environments and build data pipelines using Azure Synapse, ADF, Databricks, and Spark Our transportation client is seeking a Cloud Data Engineer (5+ years) to configure cloud environments and build data pipelines using Azure Synapse, ADF, Databricks, and Spark
Join a transportation organization supporting a large-scale ITSM Replacement Program within its Business Technology Services division. This role focuses on configuring cloud environments, updating Synapse pipelines, supporting QA and UAT activities, and deploying production data processes within the Azure data ecosystem. The position works closely with Cloud Data Architects, Scrum teams, and business stakeholders on data solutions and analytics initiatives.
5 month Contract, high chance of extension, Vancouver, Tuesday and Wednesday onsite Hybrid, Working Hours: 37.5 PST
Must Haves 5+ years on Cloud implementation projects within the Azure data ecosystem
Hands‑on expertise with ADF , Azure Databricks , Delta Lake , Azure Data Lake Storage , Azure Synapse , and Power BI
Strong experience converting Synapse pipelines to ADF and Databricks
Hands‑on development using Spark , PySpark , and Python in Azure
Diploma in computer science from a recognized institute of technology including courses in database design, programming, business and systems analysis
Nice to Have Experience working in Scrum Agile
Data management and data quality
Experience gathering and analyzing functional and technical requirements
Experience with Crystal Report
Responsibilities Set up and configure the cloud workplace
Change Synapse pipelines to pull data into the parallel run environment
Unit test code changes
Support testing and QA of data loaded into the parallel run environment
Deploy code into production and schedule periodic data processes
Create automated testing using the Test Automated Framework




Our transportation client is seeking a Cloud Data Engineer (5+ years) to configure cloud environments and build data pipelines using Azure Synapse, ADF, Databricks, and Spark
Join a transportation organization supporting a large-scale ITSM Replacement Program within its Business Technology Services division. This role focuses on configuring cloud environments, updating Synapse pipelines, supporting QA and UAT activities, and deploying production data processes within the Azure data ecosystem. The position works closely with Cloud Data Architects, Scrum teams, and business stakeholders on data solutions and analytics initiatives.
5 month Contract, high chance of extension, Vancouver, Tuesday and Wednesday onsite Hybrid, Working Hours: 37.5 PST
Must Haves 5+ years on Cloud implementation projects within the Azure data ecosystem
Hands‑on expertise with ADF , Azure Databricks , Delta Lake , Azure Data Lake Storage , Azure Synapse , and Power BI
Strong experience converting Synapse pipelines to ADF and Databricks
Hands‑on development using Spark , PySpark , and Python in Azure
Diploma in computer science from a recognized institute of technology including courses in database design, programming, business and systems analysis
Nice to Have Experience working in Scrum Agile
Data management and data quality
Experience gathering and analyzing functional and technical requirements
Experience designing Data Lakes
Experience with Crystal Report
Responsibilities Set up and configure the cloud environment
Change Synapse pipelines to pull data into the parallel run environment
Unit test code changes
Support testing and QA of data loaded into the parallel run environment
Prepare deployment plans for production implementation
Deploy code into production and schedule periodic data processes
Create automated testing using the Test Automated Framework
Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy.

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📌 Cloud Data Engineer (5+ years) to configure cloud environments and build data pipelines using Azure (British Columbia)
🏢 S.i. Systems
📍 British Columbia