Job Summary

Job Description

Data Engineer

What is the opportunity?

We’re looking for an enthusiastic engineering lead who’s excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems.
As a Data Engineering Lead, you’ll be responsible for owning and delivering data engineering solutions to Borealis AI project teams and its customers. Supports the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

Key Responsibilities:

Lead the design, implementation and deployment of data engineering solutions.Lead efforts in extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark etc.).Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases.Have experience with writing modular, robust, scalable software in one of the modern languages such as C++, C#, Java, Python.Have experience with Snowflake or Databricks platforms.Have knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.Experience with scaling and performance of large systems.Experience in working with business, product and other technical teams.Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team.Creating software for retrieving, parsing and processing structured and unstructured data.Defining and building scalable ETL/ELT workflows for reporting and analytics.Supporting project team to scale, monitor and operate data platforms for very high availability and performance.Developing scripts and programs for converting various types of data into usable formats.

Must Have:

Big Data EngineeringBig Data ConceptsRelational Data ModellingPython (Programming Language)Data Warehouse ModelingSnowflake (Platform)Software DevelopmentTechnical LeadershipCloud EngineeringApache Spark

Nice to Have:

Experience with Agile development methodologies and version control systems such as GitExperience with containerization using Docker and KubernetesCertifications in software engineering, data engineering or a related field

#TECHPJ

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Job Skills

Apache Spark, Apache Spark, Big Data Concepts, Big Data Engineering, Big Data Management, Big Data Platforms, Cloud Computing, Cloud Engineering, Database Development, Data Mining, Data Modeling, Data Warehouse Modeling, Data Warehousing (DW), Dimensional Data Modeling, ETL Processing, Group Problem Solving, Microsoft Azure, Object-Oriented Software Development, Python (Programming Language), Python for Data Analysis, Python Frameworks, Python Software Development, Quality Management, Relational Data Modelling, Requirements Analysis {+ 3 more}

Additional Job Details

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:

2025-07-30

Application Deadline:

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 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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