Location: Toronto, ON
Onsite Flexibility: Hybrid Thursday and 4th Friday of the month on-site (may change due to business requirements)
- Position Type: Contract
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Contract Duration: 6 months (with potential for extension)
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Pay Rate: C$95.00 C$100.00 / Hour (CAD)
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Shift / Schedule: 37.5 hours/week, 9:00 AM 5:00 PM, Monday to Friday
This contractor role sits within Global Asset Management Technology, supporting the institutional execution function the process by which asset managers carry out large-scale investment transactions on behalf of institutional clients. The scope of this work involves 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 currently on a transformation journey and is open to exploring the advanced functionality of Databricks. The successful candidate will work on a daily basis alongside the Data Engineer Lead and client stakeholders and will be part of a team comprising one Data Engineer Lead, five Senior Data Engineers, and three Client/PM resources.
- 7 years of experience with ADF, Databricks, and Azure Functions (C#)
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In-depth development experience with Python/notebook on Databricks/Spark/Pandas
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Expert working knowledge of Unity Catalog and data governance setup/configuration
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Experience in loading datasets from various sources using ADF to Databricks with Medallion architecture
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Experience in converting Databricks workspace from Hive Metastore to Unity Catalog and setting up associated permissions
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Creating delta table schema/tables with proper design/properties and security permissions
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DevOps and deployment pipeline using Azure DevOps/GitHub Enterprise for both ADF and Databricks
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In-depth experience with Azure Entra ID for SSO/RBAC setup
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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
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Ability to work independently and lead a small team
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Ability to lead a small team and technical problem-solving sessions
- Proficiency in ADF (Azure Data Factory) must-have
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Proficiency in Databricks must-have
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Familiarity working in a locked-down Windows environment for a highly regulated industry
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Proven ability to work independently with minimum supervision
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Excellent communication skills
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Meticulous and attentive to detail
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Autonomous working style
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Works well in a team environment
- Experience with Delta Live Tables
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Previous experience at a financial institution (previous CIBC experience or experience at a financial institution is an asset)
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Financial Services Industry experience is an asset
- Hybrid schedule: Thursday and 4th Friday of the month on-site; schedule may change due to business requirements
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No potential for overtime
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Environment is a locked-down Windows setup typical of a highly regulated financial industry
- Medical, Vision, and Dental Insurance Plans
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401k Retirement Fund
This client is a large, full-service multinational financial institution headquartered in Canada, with significant commercial and investment banking operations in the United States and other global markets, serving millions of individual, business, and institutional clients worldwide. The organization offers a comprehensive range of banking, wealth management, and capital markets products and services, and employs professionals across data engineering, technology, asset management, capital markets, and enterprise programs functions. With a well-developed training framework, structured recognition programs, and meaningful commitments to inclusion and diversity, this institution provides a collaborative and professionally rewarding environment for individuals seeking stability and structured career growth in a major financial services organization.
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: 26-09384 Industry: Data & Analytics
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