Data Engineer - Montreal, QC - Hybrid - contract 24 months

Role: Data Engineer
Structure: 24 month contract
Location: Downtown Montreal, QC Hybrid, 3 days per week in office
Rates: $85.00 - $95.00 p/h INC. 

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We have a great new opportunity to support one of our clients in a contract capacity!

Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.

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​​​​​ Deliverables

• Design, build, document, and maintain scalable batch and streaming data pipelines into the company’s Azure Databricks Enterprise Data Platform , ingesting high-volume data from APIs, databases, files, and other enterprise sources.
• Develop and optimize data processing solutions using Python, Spark, Databricks, Azure Data Factory, Azure Data Lake, and SQL , focusing on performance, scalability, reliability, cost efficiency, and timely data availability.
• Troubleshoot production pipeline and data-quality issues, implement Data Quality-by-Design , support pipeline SLOs, and ensure solutions comply with enterprise data integration, modelling, governance, and security standards.
• Develop reusable data engineering frameworks, libraries, CI/CD pipelines, and engineering standards using Azure DevOps while collaborating with Data Scientists, Analysts, Data Stewards, Governance teams, and business stakeholders in an Agile environment.

 

Experience Required

• 5+ years of hands-on Data Engineering experience , including at least 5 years working extensively with Python and Apache Spark to develop enterprise-scale data processing solutions.
• 4+ years of hands-on Azure Databricks experience , designing, developing, troubleshooting, and performance-tuning production data pipelines and workloads.
• Strong Microsoft Azure data-platform experience, specifically Azure Data Factory, Azure Data Lake, Azure DevOps and Azure DevOps Pipelines , including CI/CD and automated deployment practices.
• Strong SQL, relational database, data modelling, and data warehousing experience, including data ingestion, transformation, performance optimization, data quality, and integration of multiple source types.
• Bachelor's degree in IT, Computer Science, Statistics, Mathematics, or a related discipline , plus Agile delivery experience and professional bilingual French/English capability .

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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or its client partners may utilize AI tools to assist with the hiring processes.

 

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