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CIBC

Consultant, Data Engineer

Reposted Yesterday
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In-Office
Toronto, ON
Mid level
In-Office
Toronto, ON
Mid level
The Consultant, Data Engineer is responsible for developing scalable data pipelines on a cloud-native platform, combining data from multiple sources to support marketing and enterprise initiatives, while ensuring best practices in data engineering.
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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

Reporting to the Director, Marketing Data Strategy and Governance, the Consultant, Data Engineer will be responsible for developing data pipelines on cloud-native platform, combining data from multiple sources across multiple domains. The Data Products support the larger Marketing modernization programs, which include use-cases across machine learning, analytics, and reporting. The marketing data team's focus is on value-added data products that support enterprise initiatives, partnering with technology teams for platform and infrastructure requirements. You will work closely with Data Product owners and Lead Data Engineers to understand the business requirements, design and execute the build of data products in the most scalable and efficient manner, with modular and re-usable design to enable a foundational and strategic build. You bring end-to-end experience in delivering Enterprise quality data product, with deep understanding of the cloud-based data engineering architectural principles.

At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

How you'll succeed

  • You demonstrate strong technical background – 3-5 years’ experience delivering data solutions with cloud-native platforms such as Databricks. You are proficient in developing functional / declarative pipelines using PySpark, Scala, and SparkSQL. You understand the principles of parallel processing, such as Spark, MapReduce with Spark-native methodologies. Knowledge of Azure Data Factory, Azure SQL, Microsoft Fabric, Oracle, Netezza, SAS, Toad would be an asset
  • You bring industry standard best practices – Be a subject matter expert in cloud data engineering best practices, standards and techniques, including CI/CD Principles, GitHub and agile/scrum working models.
  • You have a strong business acumen – You understand the business objectives, and desired outcomes and can connect the dots between multiple programs & dependencies to make an informed decision for tasks related to your work and desired outcome. You are able to simplify and translate a complex problem into ways that are easily understood by others.
  • Troubleshooting and Analytical Thinking – You ask the right questions to get the answers you are looking for. Ability to identify and ensure right stakeholders are engaged in conversations to resolve outstanding items.
  • Accountability and Time Management – Play a proactive role in seeking for resolutions to issues and roadblocks along the program lifecycle. Demonstrate strong time management and organizational skills with the ability to prioritize and deliver multiple concurrent programs

Who you are

  • You understand that success is in the details. You notice things that others don't. You ask the right questions. Your critical thinking skills help to inform your decision making.
  • You act like an owner. You thrive when you're empowered to take initiative, go above and beyond, and deliver results.
  • You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
  • 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

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, 33rd Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Client Counseling, Communication, Data Analysis, Data Management, Marketing Analytics, Marketing Strategies, Prioritization, Process Improvements, Project Management, Teamwork

Top Skills

Azure Data Factory
Azure Sql
Databricks
Microsoft Fabric
Netezza
Oracle
Pyspark
SAS
Scala
Sparksql
Toad
HQ

CIBC Toronto, Ontario, CAN Office

Square, 81 & 141 Bay, Toronto, Ontario, Canada

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