Sr. Data Engineer - 54926

Business Unit: 4 - Wealth Data & Analytics

Duration: 9 months

Extension possible: Yes

Interview Process: 2 rounds 1 virtual +1 in person

Work Location: Hybrid, 79 Wellington Street West, Toronto, Ontario ( In office 3 days a week required )

CANDIDATE PROFILE DETAILS:

Degree/Certifications Required: Computer science or related

Project Scope: Regulatory law 25 projects

Team Size: 100 + ppl

Selling Points of Position: Working within a leading FI organization

SUMMARY OF DAY-TO-DAY RESPONSIBILITIES:

• Key accountabilities are: 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.
• Ensure that solutions adhere to development best practices and architectural principles.
• Apply analytical skills to resolve problems and deliver viable solutions. Anticipate obstacles and execute proactive approaches to issues.
• Active participation in issue resolution. Provide detailed development estimates to Project Manager for development effort as well as weekly status reporting and budget forecasting.
• Configuration management for the sub projects within the release.
• Responsible for coding, testing, packaging, deployment, and support of builds as code is promoted from development, system, acceptance and production environments. May lead code reviews.
• Work closely with System Test Environment Management Team (STEMT) to ensure that environments are fully functional and that builds are properly deployed.
• Participate in development of test strategy, test plans, test cases and testing efforts (unit testing and integration testing of code).
• Provide technical support to business and testing team during testing phases.
• Track defects, defect triage and resolution. Data set up and environment shake down. Coaching / mentoring of junior developers.

MUST HAVE:

• Technical knowledge or experience with Cloud environments (MS Azure) as well as experience with Data Management and Analytics, Data Governance and Regulatory projects.
• Advanced technical knowledge and experience with: PySpark, SQL, Power BI and Tableau
• Project Management experience. The project requires working and communicating with multiple Pods.
• 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 well as writing documentation.
• 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.
• Databricks experience.
• Synapse experience.

NICE TO HAVE

• Experience presenting in front of big crowds/senior leadership is a plus.
• Banking experience
• Law25 regulation