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RBC’s Borealis are looking to expand our data ingestion platform team. You’ll be working as part of a team to build automation solutions for data ingestion from various sources into internal and external data lakes for terabytes of data.

• Work within an Agile product team to design, develop and maintain data ingestion flows and evolve the platform to orchestrate them.
• Contribute towards the creation of intuitive, robust, and reusable back‑end components using modern frameworks.
• Gather functional requirements and translate them into technical specifications. This includes interfacing with other engineers, project managers, business analysts and end users.
• Collaborate with other team members on resolving technical issues, improving current products and developing new features.

• Be a creative problem solver that can develop a plan, take ownership and deliver solutions
• A team player, technical advocate, keen to detail out and share ideas with your team
• An exceptional communicator able to articulate technical issues in plain language
• You keep up to date on back‑end development trends
• Understand web/application security and the importance of data privacy
• Bring new ideas and solutions to the team to help solve our challenges

• Extensive experience with Scala programming language
• Experience with Big Data technologies used for ETL: Spark, Yarn, Hive, Hadoop
• Experience building microservices with programming languages: Python, Java
• Experience with relational databases: Postgres, MySQL or SQL Server
• Experience with at least one web application frameworks, like: FastAPI, Flask, SpringBoot
• Experience with building/using REST APIs and designing microservices
• Basic development experience on Front‑end with at least one framework out of: Angular, Vue, React
• Experience with Docker/Kubernetes/Containers
• Experience with workflow management tools like: Apache Airflow

• Experience with Continuous Integration tools - Jenkins, GitHub Actions, Automated Testing tools, Git, or similar tools.
• ETL experience involving Snowflake
• ETL experience involving DBT

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.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high‑performing team
• A world‑class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

#LI-Post #TechPJ

• Apache Airflow
• Apache Spark
• Big Data Management
• Cloud Computing
• Database Development
• Data Mining
• Data Warehousing (DW)
• ETL Processing
• Group Problem Solving
• Python (Programming Language)
• Quality Management
• Requirements Analysis
• Scala (Programming Language)

• Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
• City: Toronto
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: TECHNOLOGY AND OPERATIONS
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2025-08-22
• Application Deadline: 2026-01-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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