Data Engineer
Job Description
What is the opportunity?
We are seeking a talented Data Engineer to join our rapidly expanding Centralized Data Hub. This is a strategic initiative transforming how our organization manages and leverages data at scale. As a key contributor to this mission-critical platform, you will help build the backbone for enterprise-wide data operations.
What Makes This Opportunity Unique
Cutting-Edge Tech Stack: Work with modern tools and frameworks, implementing industry best practices in data architecture, streaming, and batch processing.
High-Impact Project: Play a pivotal role in a high-visibility project receiving significant organizational investment and executive attention.
Career Acceleration: Gain hands-on experience with modern data engineering patterns, Lambda architecture, and distributed systems at scale.
Innovation-Driven Culture: Join a team that prioritizes code quality, automation, and continuous improvement.
What will you do?
Building scalable data pipelines and integration frameworks.
Designing and implementing robust data models and schemas.
Developing real-time streaming and batch processing solutions.
Establishing data governance and quality standards.
Collaborating with cross-functional teams to deliver data-driven solutions.
What do you need to succeed?
Must-have
Education: Degree in Computer Science or a related field preferred.
Proficiency in Python and Object-Oriented Development
Experience with NoSQL databases (MongoDB) and Relational Databases
Hands-on experience with Apache Kafka for streaming data
Familiarity with data pipeline orchestration tools (Dagster, Airflow, Luigi, etc.)
Experience with containerization and orchestration (Docker, Kubernetes)
Proficiency with Git version control
Nice to have
Experience with Apache Hadoop, YARN and Spark.
Experience with Polars or Pandas
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.
Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
Leaders who support your development through coaching and learning opportunities
Work in a dynamic, collaborative, progressive and highly performing team
Ability to make a difference and lasting impact
Enjoy a comfortable, casual work environment
Join us and help shape the future of data engineering at RBC!
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#TECHPJ
Job Skills
Apache Kafka, Data ETL, Docker (Software), Git, Kubernetes, MongoDB, Object-Oriented Development, Python (Programming Language)Additional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.