Data Analyst - ADF + Databricks

Global Technical Talent, an Inc. 5000 Company; Toronto; Hybrid; CAD 124.000 - 131.000; Vollzeit

Benefits dieser Stelle

Medical, Vision, and Dental Insurance

401k Retirement Fund

Zusammenfassung

Global Technical Talent, an Inc. 5000 Company, is hiring a Data Analyst - ADF Databricks in Toronto. The contract role spans 6 months with potential extension, hybrid onsite—Thursdays and the 4th Friday of each month.

You will work within Global Asset Management Technology, focusing on advanced Databricks functionality and data governance. The ideal candidate brings 7+ years with ADF, Databricks, and Azure Functions (C#), plus strong Python skills and experience with Unity Catalog and secure

Qualifikationen

• 7 years of experience with ADF, Databricks and Azure Functions (C#).
• Proficient in Python/notebook on Databricks/Spark/Pandas.
• Experience with Unity Catalog and data governance setup.
• Conversant with loading data via ADF to Databricks using Medallion architecture.
• Experience migrating Databricks workspace to Unity Catalog and managing permissions.
• Strong design of delta tables with security considerations.
• DevOps and deployment pipelines using Azure DevOps or GitHub Enterprise for ADF and Databricks.
• Experience with Azure AD Entra ID for SSO/RBAC and Azure PaaS resources.

Aufgaben

• Lead data integration and engineering tasks across ADF and Databricks.
• Develop and optimize pipelines using Medallion architecture.
• Design delta table schemas with proper properties and permissions.
• Configure and maintain Unity Catalog and data governance rules.
• Oversee DevOps pipelines for deployment to ADF and Databricks.
• Work with Azure Entra ID for access control and security.
• Collaborate with a small team and provide technical leadership.

Kenntnisse

ADF

Databricks

Azure Functions (C#)

Python / notebooks (Databricks / Spark

Unity Catalog

Data governance

DevOps / CI/CD

Azure Entra ID

Azure PaaS

Ausbildung

Jobbeschreibung

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

• Position Type: Contract
• Contract Duration: 6 months (with potential for extension)
• Pay Rate: C$90.00–C$95.00 / Hour (CAD)
• Shift / Schedule: 37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday

Data Analyst - ADF Databricks

Location: Toronto, ON

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

Contract Details

• Position Type: Contract
• Contract Duration: 6 months (with potential for extension)
• Pay Rate: C$90.00–C$95.00 / Hour (CAD)
• Shift / Schedule: 37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday

Job Summary

This role sits within the Global Asset Management Technology line of business, which supports institutional execution — the process by which asset managers carry out large-scale investment transactions on behalf of institutional clients. This 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.

Key Responsibilities

• 7 years of experience with ADF, Databricks, and Azure Functions (C#)
• In-depth development experience with Python/notebook 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/deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases
• 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

Required Skills

• ADF and Databricks — must be proficient
• Familiar working in a locked-down Windows environment for a highly regulated industry
• Excellent communication skills
• Meticulous with strong attention to detail
• Autonomous; able to work with minimum supervision
• Works well in a team environment

Preferred Skills

• Nice-to-have experience with Delta Live Tables
• Financial Services Industry experience is an asset
• Previous experience at a financial institution

Required Experience

• 7 years of experience with ADF, Databricks, and Azure Functions (C#)

Work Environment / Physical Requirements

• No overtime expected

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

About the Client

This client is a large, full-service multinational financial institution offering a comprehensive range of banking, wealth management, and capital markets products and services, serving millions of clients across its home market in Canada and operating internationally — with significant commercial and investment banking presence in the United States and other global markets. The organization employs data engineers, business analysts, DevOps engineers, and technology professionals who collaborate across enterprise-scale transformation programs. It is recognized for a collaborative, inclusive culture, competitive compensation, and structured career development opportunities, making it a strong fit for professionals seeking stability and growth in a major financial institution.

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.

Job Number: 26-11902 Industry: Data & Analytics

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