Data Migration Specialist

Job title: Data Migration Specialist Location: Toronto, ON (Hybrid- 4 days on site, one work from home) Duration: 12 months (possible extension) Schedule: M-F, standard business hours Responsibilities: Responsible for leading technical aspects of project from inception through to deployment. Participate in analysis and system design specification sessions. Documentation of design options and solutions according to System Development Life Cycle (SDLC) methodology. MUST-HAVE Hard Skills: Technical knowledge or experience with Cloud environments (MS Azure) as well as experience with Data Management and Analytics. Strong technical knowledge and experience with: PySpark, SQL, Tableau and Power BI Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs. Experienced with Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation Reading and comprehending data schemas, metadata, entity relationship diagrams and other technical documentation as well as writing documentation. Databricks experience. Unity Catalog experience. Synapse experience. SOFT SKILLS: Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment. Strong statistical and analytical skills as well as a passion for analytics are necessary. NICE-TO-HAVE Banking experience Project Management experience Years of Overall Experience: 8-10 years of experience is required Ideal Candidate Background: Azure, PySpark, SQL, Tableau, Power BI, Databricks, Unity Catalog, Synapse. Banking is a nice to have background, lots of experience with automation, data visualization and Algorithm Development.

Lead the technical aspects of projects from inception to deployment, including analysis and system design. Document design options and solutions following SDLC methodology.

Requires 8-10 years of experience with strong expertise in Azure, PySpark, SQL, and data visualization tools. Proficiency in Databricks, Unity Catalog, and Synapse is essential.

Identified from the job description. Confirm important requirements above.

• PySpark
• SQL
• Tableau
• Power BI
• Azure
• Databricks
• Unity Catalog
• Synapse
• Data Management
• Data Analytics
• Data Mining
• Algorithm Development
• Automation
• Data Visualization
• SDLC
• Text Mining

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Consulting

Minimum experience

5+ years

Apply by

Aug 27, 2026

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available