What You'll Be Doing

You'll be joining CIBC's Finance Technology team in Enterprise Technology. As the a Consultant, Data Developer, you'll be at the heart of CIBC's Finance Modernization initiative providing expertise in transforming CIBC's current Financial Processing Reporting, and Analytics landscape. As a Consultant, Data Developer you'll lead in solutioning, developing, testing and supporting the implementation of these cross-functional, multi-platform, multi-vendor SAAS/PAAS application systems involving Microsoft Azure , Databricks, Python, Azure Data Factory and DevOps (Github).

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

How You'll Succeed

• Programming Skills: Oversee and Develop coding and test computer programs for straightforward assignments. Review, analyze, and modify programming systems, including encoding, testing, and debugging.
• Product Ownership: Act as a product owner by embracing ownership of all aspects of the applications, its delivery, subject matter expertise, roadmaps etc
• Systems Implementation: Lead in the technical design, development, and integration of cross functional, multi-platform application systems.
• Planning and Coordination: Effectively interact with internal and external Finance stakeholders, end users, business analysts, technical resources, vendors, governing bodies and regulators to gather requirements and prepare design specifications.

Who You Are

• You can demonstrate experience in: developing, testing, and implementing budgeting, forecasting and reporting solutions for a Corporate Finance organization using Microsoft Azure Products, Databricks, Azure Data Factory, Python, Spark, SQLMI and Azure Fabric implementations. Hands-on experience building and orchestrating metadata-driven data pipelines, Bronze/Silver/Gold data lake patterns, and DevOps-based CI/CD deployment is core to this role. Exposure to SAP Financial eco-systems (SAP S4/HANA) is a major asset.
• It's an asset if you have experience with: Oracle RDBMS, ETL tools, OBIEE, Tableau, Alteryx, Java EE applications, workload automation / job scheduling tools (e.g., Autosys), Jira, Confluence, and/or other build & deploy tools, along with experience on Windows and Unix platforms.
• You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
• Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
• You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.
• Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

Job Location
Toronto-81 Bay, 27th Floor

Employment Type
Regular

Weekly Hours
37.5

Skills
Apache Spark, Automation, Azure Data Factory, Collaboration, Database Modeling, Databricks Unity Catalog, Data Engineering, Data Integration, Data Lake, Data Pipelines, DevSecOps, GitHub, Judgement, Microsoft Azure, Microsoft Azure Databricks, Problem Solving, Programming Languages, Python (Programming Language), Quality Engineering