Data Engineer

RBC

RBC offers a vital role within its Group Risk Management team. The Data Engineer will play a key part in integrating and optimizing data for risk management purposes, contributing to operational efficiency through DevOps automation.

In this role you can expect to have the responsibilities:

• Ingest and transform large-scale operational risk datasets.
• Design and optimize data pipelines for dashboards and reports.
• Collaborate across data sources to aid risk monitoring.
• Utilize GitHub, Airflow, Jenkins, Artifactory, and Spark for ETL development.
• Create reusable software artifacts and patterns.
• Enhance data management processes for acquisition and storage.
• Implement DevOps practices for streamlined software delivery.

This role comes with the following benefits:

• Comprehensive Total Rewards Program with flexible benefits.
• Development support through leadership coaching.
• Opportunities for impactful work within a dynamic team.
• World-class training in financial services.
• Flexible work/life balance options.

This role requires you to have:

• 3+ years in the Big Data Ecosystem with Hadoop, Spark, Hive.
• Software development experience with Python, Spark, Linux, and SQL.
• Experience with Git, Jenkins, and Artifactory for code integration.
• Proficiency in using job scheduling tools, preferably Airflow.
• Bachelor's degree in Computer Science, Engineering, or related STEM field.

You would benefit from having:

• Familiarity with REST API and microservice frameworks.
• Experience with containers such as Docker and Kubernetes.
• Experience in Agile team settings.
• Knowledge of dashboarding and reporting tools like Tableau.
• Strong critical thinking and problem-solving skills.
• Effective communication skills both written and verbal.

RBC is dedicated to fostering inclusion, promoting diversity, and providing accessible candidate experiences. They are committed to equity and systemic bias reduction to support diverse talent and communities.