Job Summary
Job Description
What is the opportunity?
As a Data Engineer within the Group Risk Management (GRM) team, you will assist a team of Data Scientists and Data Analysts in leveraging data across RBC to be used in helping Operational Risk Managers better understand, monitor, and manage risks at RBC. You will manage the ingestion and processing of various data sources across RBC used to feed Analytics pipelines. You will also work to incorporate DevOps/CICD processes into the development process, to help streamline and automate deployments.
What will you do?
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Ingest and transform large-scale OR datasets to be used for computing key risk indicators (KRIs) and building OR models.
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Design and optimize data pipelines for dashboarding and reporting
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Work with numerous data sources across RBC to help Risk Managers monitor Operational Risk
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Use GitHub, Airflow, Jenkins, Artifactory, and Spark to develop and deploy ETL’s/DAG’s
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Create software artifacts and patterns for reuse within the team
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Help improve data management processes towards acquiring, transforming, and storing data
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Leverage DevOps practices to streamline and automate software delivery
What do you need to succeed?
Must-have:
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3+ years of experience working with the Big Data Ecosystem (Hadoop, Spark, Hive)
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Professional software development experience with Python, Spark, Linux, and SQL
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Experience integrating codebases with Git, Jenkins, Artifactory, and similar tools
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Experience using job scheduling tools (Airflow preferred) to manage ETLs
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Bachelors in Computer Science, Software Engineering, or other STEM majors. Masters/PhD considered an asset.
Nice-to-have
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Experience with REST API and microservice frameworks
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Experience working with containers (Docker, Kubernetes)
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Experience working in an Agile team
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Experience with dashboarding and reporting tools (Tableau)
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Strong critical thinking and creative problem-solving skills
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Strong communication skills both in written and verbal
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
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A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
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Leaders who support your development through coaching and managing opportunities
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Ability to make a difference and lasting impact
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Work in a dynamic, collaborative, progressive, and high-performing team
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A world-class training program in financial services
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Flexible work/life balance options
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Opportunities to do challenging work
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Job Skills
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job Details
Address:
20 KING ST W:TORONTO
City:
TORONTO
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
GROUP RISK MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-02-11
Application Deadline:
2025-02-28
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
RBC Toronto, Ontario, CAN Office
200 Bay Street, Toronto, Ontario, Canada, M5J 2J5
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