Position: Data Engineer (Databricks)
Location: Oshawa, ON (3 days remote)
Structure: Contract 12 months to start
Pay: $88.00 - $96.00 p/h inc. + HST

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We have a great new opportunity to support one of our Energy Sector 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, and support scalable Azure-based data lake, data warehouse, and analytics solutions using Databricks, Azure Data Factory, Synapse, and related Microsoft data technologies.
• Develop and productionize high-performance ELT/ETL pipelines, common data models, and curated enterprise datasets that serve as trusted sources for reporting, analytics, business intelligence, and downstream applications.
• Implement data governance, security, lineage, metadata management, automation, CI/CD, testing, and role-based access controls while ensuring data quality, reliability, and performance.
• Collaborate with Data Architects, Business Intelligence teams, Data Scientists, Analysts, Infrastructure, and Cyber Security teams to deliver innovative, customer-centric data products within an Agile delivery environment.

Experience Required

• 4–6+ years of Data Engineering experience within Big Data environments, with strong hands-on expertise in Azure Databricks and the Microsoft Azure data ecosystem.
• Advanced experience building and optimizing data pipelines using Python, SQL, Spark/PySpark, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure SQL, and related cloud technologies.
• Strong knowledge of data warehousing, dimensional data modeling, data architecture, metadata management, data lineage, data quality controls, and enterprise data governance practices.
• Experience integrating structured and unstructured data sources including REST APIs, JSON, XML, CSV, event-driven architectures, streaming data platforms, and near real-time data solutions.
• Strong understanding of DevOps, CI/CD, source control, automated testing, Agile/Scrum methodologies, NoSQL and relational databases, query optimization, partitioning, and performance tuning within enterprise-scale data environments.
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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.

For more roles like this, please go to www.corgta.com/find-a-job/