Data Analyst - ADF, Databricks and Azure # Request ID: -1 Start/End Dates: - 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 rate range: $90-100hr B2B Target Start Date: ASAP Duration: 6 months Potential for this contract to be extended or converted to FTE? Extension: Yes / FTE: Yes Hybrid work: in office on Thursday, plus 4th Friday of the month. (occasional additional days if needed - changes coming based on business need) Office Location: 81 Bay Street, Toronto Work Schedule (hours per week, start time): 37.5 Hours/week, 9-5 Monday to Friday 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. 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, PM How many years of experience?: 7-10+ 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 workplace 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 ADF orchestrations with Databricks Experience with set up and configuration of data governance Databricks (Python notebooks, jobs, clusters, Delta Lake, medallion architecture, performance tuning/cost optimization) CI/CD, security Monitoring How many years of experience?: 10+ for total experience but experience for Databricks can be 5-8 years experience. Nice to Have Previous CIBC experience or experience in a financial institution. - if they come from a data warehousing background and moved into data engineering with ADF and Databricks and devops exposure. An asset is having Machine Learning or Machine Intelligence experience (not a reqt but will set the candidate apart) Soft Skills Meticulous Attention to detail Autonomous NOTE Close on Oct 16 at 12 noon Same role at Data Analyst # #J-18808-Ljbffr

📌 Data Analyst 108589 (Toronto)
🏢 C.G. Consulting Group
📍 Toronto