Databricks Engineer

Databricks Engineer - Expert

Location: Toronto, ON

Onsite Flexibility: Hybrid — Thursday and 4th Friday of the month on-site (may change due to business requirements)

Contract Details

• Position Type: Contract
• Contract Duration: 6 months (potential for extension; possible conversion to FTE, though no current opening)
• Pay Rate: C$85.00–C$95.00 / Hour (CAD)
• Shift / Schedule: 37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday

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Job Summary

ThisDatabricks Engineer role supports the Global Asset Management Technology line of business, where the team focuses on large-scale institutional investment execution. The business is currently on a transformation journey and is open to exploring advanced functionality withinDatabricks. The successful candidate will work closely with a Data Engineer Lead and client stakeholders on a team that includes one Data Engineer Lead, five Senior Data Engineers, and three Client/PM members. The latest project involves quantitative analysis integrating AI/ML with Databricks applications.

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Key Responsibilities

• Develop and maintain solutions using ADF, Databricks, and Azure Functions (C#)
• Perform in-depth development using Python/notebooks on Databricks/Spark/Pandas
• Implement and configure Unity Catalog and data governance setup
• Load datasets from various sources using ADF to Databricks with Medallion architecture
• Convert Databricks workspaces from Hive Metastore to Unity Catalog and set up associated permissions
• Create Delta table schemas and tables with proper design, properties, and security permissions
• Build and maintain DevOps and deployment pipelines using Azure DevOps/GitHub Enterprise for both ADF and Databricks
• Configure and manage Azure Entra ID for SSO/RBAC setup
• Work with and deploy to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases
• Work independently and lead a small team and technical problem-solving sessions

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Required Skills

• 7 years of experience with ADF, Databricks, and Azure Functions (C#)
• In-depth development experience with Python/notebooks on Databricks/Spark/Pandas
• Expert working knowledge of Unity Catalog and data governance setup/configuration
• Experience in loading datasets from various sources using ADF to Databricks with Medallion architecture
• Experience converting Databricks workspaces from Hive Metastore to Unity Catalog and setting up associated permissions
• Proficiency in creating Delta table schemas/tables with proper design, properties, and security permissions
• DevOps and deployment pipeline experience using Azure DevOps/GitHub Enterprise for both ADF and Databricks
• In-depth experience with Azure Entra ID for SSO/RBAC setup
• In-depth experience working with and deploying to Azure PaaS resources (Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, Synapse dedicated SQL databases)
• Ability to work in a locked-down Windows environment for a highly regulated industry
• Proven ability to work independently with minimum supervision
• Ability to lead a small team and technical problem-solving sessions
• Excellent communication skills
• Must Have: ADF orchestrations with Databricks
• Must Have: Databricks (Python notebooks, jobs, clusters, Delta Lake, Medallion architecture, performance tuning/cost optimization)
• Must Have: CI/CD and security
• Must Have: Monitoring
• Meticulous with strong attention to detail
• Autonomous and works well in a team environment

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Preferred Skills

• Experience with Delta Live Tables
• Previous experience at a financial institution or previous CIBC experience
• Financial Services Industry experience is an asset
• Background transitioning from Data Warehouse into Data Engineering

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• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

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About the Client

This client is a large, full-service multinationalfinancial institution headquartered in Canada and operating internationally, with significant commercial and investment banking presence in the United States and other global markets. Serving millions of clients across retail banking, wealth management, and capital markets, the organization employs data engineers, software developers, business analysts, DevOps engineers, and technology professionals who collaborate across enterprise-scale transformation programs. The institution offers competitive compensation, structured career development frameworks, and a collaborative, purpose-driven culture with strong commitments to inclusion and diversity.

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About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

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Job Number: 26-13847Industry: Engineering

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