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CIBC

Sr Cloud Data Engineer

Posted 3 Days Ago
In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Design, develop, and maintain scalable cloud data solutions using Azure Data Factory, Azure Databricks, Power BI, Python, PySpark, and SAS. Build optimized data pipelines, apply data modeling principles, support data mesh architecture, and ensure data product quality through testing. Lead technical design, complex application development, technology roadmaps, code reviews, and mentoring while delivering enterprise-scale backend and mobile transformation projects.
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We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing


You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale mobile projects involving multiple back-end systems. As a Sr Cloud Data Engineer, you’ll assemble, implement, and maintain easy, flexible, and personalized solutions .You’ll lead the planning and strategy for the technical design, development, and integration of applications.


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


  • Design and development - Perform and coordinate complicated application programming activities. Design the application's technical infrastructure using specific databases, programming languages, utilities, and testing approaches. Lead the design and development of cost-effective and innovative solutions. 
  • Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
  • Leadership skills - Act as the mobile development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.

Who you are


  • You can demonstrate experience atleast 5+ years of experience and the Cloud Data Engineer is responsible for designing, developing, and maintaining scalable data solutions using cloud technologies. This role leverages expertise in Azure Data Factory, Azure Databricks, and Power BI to build and optimize data pipelines and analytics solutions. The incumbent works with large data sets utilizing Python, PySpark, and SAS, and applies sound data modeling principles to enable effective data management and reporting. The Cloud Data Engineer ensures the quality and reliability of data products through the creation of unit test cases and supports the implementation of data mesh architecture within the cloud infrastructure.
  • You embrace and advocate change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
  • Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
  • You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
  • You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
  • You live your values. You bring high standards, genuine care to your relationships, and want to grow with an employer that shares your values and brings out your best.

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

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [email protected]

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

  • We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 16th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Automation, Azure Data Factory, Big Data, Collaboration, Database Modeling, Data Engineering, Data Integration, Data Pipelines, Datasets, DevSecOps, Judgement, Microsoft Azure Databricks, Problem Solving, Programming Languages, Quality Engineering
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