- Salary
- $90 – $100
- Location
- Toronto
- Workplace
- Hybrid, Onsite
- Type
- Contract
- Department
- Engineering
- Seniority
- Senior
- Experience
- 7+ years
- Source
- PCRecruiter
Description
Senior Data Analyst / Data Engineer #106385
Request ID: 106385-1
Start/End Dates: 9/3/2026 - 3/2/2027
Work Location: downtown Toronto, near TTC and GO
Job Title: IT - Data Analyst - Expert
Job Title: Data Analyst - Expert
Line of Business: Global Asset Management Technology
Target Start Date: ASAP
Duration: 6 months
Target rate range: $90-100hr B2B
Potential for this contract to be extended or converted to FTE? Extension: Yes / Conversion: Possible
Hybrid: 1 days in office per week/ Thursdays in office plus 4th Friday of each month
Office Location: 81 Bay Street Toronto
Work Schedule (hours per week, start time): 9-5/ 37.5 hours
Potential for OT? No
What does the LOB do?: Global Asset Management institutional execution is 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.
Reason the role is open? Data Engineer
Team (# of members, culture, etc): 1 Data Engineer Lead + 5 Senior Data Engineer + 3 BAs, PM
Highlights of the role; why would someone choose this role over another?: Business is under transformation journey and open to explore advance functionality of databricks.
Who Will the Candidate Be Working with on a Daily Basis?: Data Engineer Lead + BAs
How many years of experience?: 10+
Job Description:
• 7+ Years experience with ADF, Databricks and Azure Functions (C#)
• In depth development experience python/notebook on Databricks/Spark/panda
• 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 on converting Databricks workspace from hive metastore to unity catalog & setup associated permissions
• Creating delta table schema/tables with proper design/properties & security permissions
• Nice to have experience on Delta Live Table.
• DevOps & deployment pipeline using Azure DevOps/GitHub Enterprise for both ADF and databricks
• In depth experience on Azure Entra ID for SSO/RBAC setup
• In depth experience on working with/deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, Synapse dedicated SQL databases
• Familiar to work in lock down windows environment for 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
• Financial Services Industry experience is an Asset.
• Excellent Communication skills
Must Have Requirements:
• 7+ years as Data Analyst / Data Engineer
• ADF + Databricks must be proficient
Nice to Have:
• Previous CIBC experience or experience in a financial institution.
Soft Skills:
• Meticulous
• Attention to detail
• Autonomous
• Works well in a team environment
NOTE
Close on August 25 at 9AM
G.G. Consulting Group uses advanced ATS systems to track and manage candidates and jobs. We do not use AI tools for candidate screening.
Request ID: 106385-1
Start/End Dates: 9/3/2026 - 3/2/2027
Work Location: downtown Toronto, near TTC and GO
Job Title: IT - Data Analyst - Expert
Job Title: Data Analyst - Expert
Line of Business: Global Asset Management Technology
Target Start Date: ASAP
Duration: 6 months
Target rate range: $90-100hr B2B
Potential for this contract to be extended or converted to FTE? Extension: Yes / Conversion: Possible
Hybrid: 1 days in office per week/ Thursdays in office plus 4th Friday of each month
Office Location: 81 Bay Street Toronto
Work Schedule (hours per week, start time): 9-5/ 37.5 hours
Potential for OT? No
What does the LOB do?: Global Asset Management institutional execution is 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.
Reason the role is open? Data Engineer
Team (# of members, culture, etc): 1 Data Engineer Lead + 5 Senior Data Engineer + 3 BAs, PM
Highlights of the role; why would someone choose this role over another?: Business is under transformation journey and open to explore advance functionality of databricks.
Who Will the Candidate Be Working with on a Daily Basis?: Data Engineer Lead + BAs
How many years of experience?: 10+
Job Description:
• 7+ Years experience with ADF, Databricks and Azure Functions (C#)
• In depth development experience python/notebook on Databricks/Spark/panda
• 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 on converting Databricks workspace from hive metastore to unity catalog & setup associated permissions
• Creating delta table schema/tables with proper design/properties & security permissions
• Nice to have experience on Delta Live Table.
• DevOps & deployment pipeline using Azure DevOps/GitHub Enterprise for both ADF and databricks
• In depth experience on Azure Entra ID for SSO/RBAC setup
• In depth experience on working with/deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, Synapse dedicated SQL databases
• Familiar to work in lock down windows environment for 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
• Financial Services Industry experience is an Asset.
• Excellent Communication skills
Must Have Requirements:
• 7+ years as Data Analyst / Data Engineer
• ADF + Databricks must be proficient
Nice to Have:
• Previous CIBC experience or experience in a financial institution.
Soft Skills:
• Meticulous
• Attention to detail
• Autonomous
• Works well in a team environment
NOTE
Close on August 25 at 9AM
G.G. Consulting Group uses advanced ATS systems to track and manage candidates and jobs. We do not use AI tools for candidate screening.
Skills
PythonAzureSQLSparkDatabricksGitHubDevOps
