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    • Collaborate with architects, analysts, data scientists, and business stakeholders to deliver enterprise data products, support reporting initiatives, and…
    • 7+ years in data engineering, ETL/ELT, or data integration.
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    • Implement CI/CD pipelines using Azure DevOps.
    • Strong experience in data architecture and data modelling.
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    • 15+ years in data architecture, or data engineering roles.
    • Establish and enforce data governance, data stewardship, security, and reporting standards.
    • Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures.
    • You will play a critical, hands-on role in executing our data strategy, driving innovation, and enabling data-driven decision-making across the organization.
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Job Post Details

25-167 Senior Data Engineer (Azure Data Factory / Databricks) - 12 month contract - Oshawa - hybrid remote - job post

CorGTA
4.9 out of 5 stars
Oshawa, ON•Hybrid work
$85–$95 an hour - Contract, Fixed term contract
You must create an Indeed account before continuing to the company website to apply

Job details

Pay

  • $85–$95 an hour

Job type

  • Fixed term contract
  • Contract

Location

Oshawa, ON•Hybrid work

Full job description

Position: Senior Data Engineer (Azure Data Factory / Databricks)
Location: Oshawa, ON (Hybrid 3 days remote)
Structure: Contract 24 months to start
Pay: $85.00 - $95.00 p/h inc.

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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 ETL/ELT data pipelines, data lakehouse, and data warehouse solutions that provide trusted, business-ready data for analytics, reporting, and digital applications.
  • Develop and optimize data ingestion, transformation, orchestration, and automation frameworks using Python, Spark, SQL, and Azure data services while ensuring data quality, lineage, security, and performance.
  • Collaborate with architects, analysts, data scientists, and business stakeholders to deliver enterprise data products, support reporting initiatives, and maintain data governance standards.
  • Provide production support, monitoring, testing, documentation, CI/CD integration, and continuous improvement of data platforms and pipelines within an Agile delivery environment.


Experience Required

  • 5+ years of experience as a Data Engineer building and supporting enterprise-scale data pipelines, data warehouses, and data lakehouse solutions.
  • Strong hands-on expertise with Python, PySpark, SparkSQL, and SQL for large-scale data processing, transformation, and pipeline development.
  • Experience with Microsoft Azure data technologies including Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Databricks, and Power BI.
  • Solid understanding of data modeling, data governance, metadata management, data quality, security, CI/CD, DevOps practices, and role-based access controls.
  • Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, Machine Learning, or a related discipline, with strong communication and stakeholder engagement skills.

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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.


By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy


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

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