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 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 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 workplace 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.

#J-18808-Ljbffr

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