Databricks Engineer - Expert

Location: Toronto, ON

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

• Position Type: Contract
• Contract Duration: 6 months (with potential for extension; possible conversion to FTE, though no opening currently)
• 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
• Travel Requirements: Not required

This role sits within the Global Asset Management Technology line of business, which focuses on institutional execution - the process by which asset managers carry out large-scale investment transactions on behalf of institutional clients. The team's mandate includes optimizing trade strategies, ensuring best pricing, minimizing market impact, and adhering to regulatory requirements to achieve efficient and secure execution of investment decisions. The business is on an active transformation journey and is open to exploring advanced functionality within Databricks. The candidate will work daily with the Data Engineer Lead and client stakeholders, operating within a team that includes one Data Engineer Lead, five Senior Data Engineers, and three Client/PM members.

• 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 in converting Databricks workspace from Hive Metastore to Unity Catalog and setup of associated permissions
• Creating delta table schema/tables with proper design/properties and security permissions
• DevOps and deployment pipeline 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 such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases
• Familiarity working in a locked-down Windows environment for a highly regulated industry
• Ability to work independently and lead a small team
• Proven ability to work independently with minimum supervision
• Ability to lead a small team and technical problem-solving sessions

• ADF orchestrations with Databricks
• Databricks: Python notebooks, jobs, clusters, Delta Lake, Medallion architecture, performance tuning/cost optimization
• CI/CD and deployment pipelines
• Security configuration and RBAC
• Monitoring
• Meticulous and detail-oriented approach to work
• Autonomous work style; works well in a team environment
• Excellent communication skills

• Experience with Delta Live Tables
• Previous experience at a financial institution or equivalent
• Financial Services Industry experience

• Hybrid work arrangement: on-site Thursdays and the 4th Friday of each month; schedule may change due to business requirements
• Locked-down Windows environment within a highly regulated financial industry setting
• No overtime expected

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

This client is a large, full-service multinational financial institution offering a comprehensive range of banking, wealth management, and capital markets products and services. It serves millions of clients across its home market and operates internationally, with significant commercial and investment banking presence in the United States and other global markets. The organization employs data engineers, DevOps engineers, business analysts, enterprise program analysts, and technology professionals across its global operations, with teams in Toronto and major financial centres worldwide.

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.

Job Number: 26-13847 Industry: Engineering

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