Cloud Data Engineer (5+ years) to configure cloud environments and build data pipelines using Azure Synapse, ADF, Databricks, and Spark

S I Systems; Vancouver; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

S I Systems is seeking a Cloud Data Engineer with 5+ years of experience to configure cloud environments and build data pipelines using Azure Synapse, ADF, Databricks, and Spark. This contract role is based in Vancouver with hybrid onsite work on Tuesdays and Wednesdays.

You will collaborate with Cloud Data Architects, Scrum teams, and business stakeholders to deliver scalable data solutions, update Synapse pipelines, support QA/UAT, and deploy production data processes within the Azure data

Qualifications

• 5+ years on cloud implementation projects within the Azure data ecosystem.
• Hands-on 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 including courses in database design, programming, business and systems analysis.

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

Skills

Cloud implementation projects

Spark

PySpark

Python

Education

Diploma in Computer Science

Tools

ADF

Azure Databricks

Delta Lake

Azure Data Lake Storage

Azure Synapse

Power BI

Job description

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 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.