Software Engineer developing technical solutions for clients in logistics and trade. Working with various tools and frameworks while enjoying the flexibility to innovate.
About the role
- Software Developer developing high-performance software applications for RBC. Collaborating with cross-functional teams to deliver intelligent data governance and ML/AI enablement solutions.
Responsibilities
- Design and develop enterprise-grade data pipelines, ETL/ELT processes, and APIs
- Build and optimize data infrastructure components that support real-time analytics, reporting, and AI/ML implementation into pipelines
- Implement data quality monitoring, validation, and lineage tracking systems to ensure data integrity across the organization
- Develop microservices and containerized applications (Docker, Kubernetes) for scalable data processing and integration
- Write clean, well-documented, and testable code following enterprise standards and best practices
- Participate in code reviews, performance optimization, and technical design discussions
- Support CI/CD pipeline development and automation for data platform deployments
- Troubleshoot production issues and implement solutions with minimal downtime
Requirements
- 3+ years of experience and strong proficiency in one or more programming languages (Python, Spring, Java, Scala, Go)
- Advanced SQL and experience with relational and NoSQL databases
- Hands-on experience with cloud data platforms (AWS, Azure) or on-premises data warehouse solutions
- Familiarity with analytical and cloud data lakehouse platforms (Databricks, Snowflake)
- Understanding of data modeling, ETL patterns, and data governance principles
- Experience with containerization, orchestration, and deployment technologies (Docker, Kubernetes, Terraform)
- Knowledge of ML/AI workflows, model deployment, and inference pipelines
- Proficiency with version control systems (Git) and CI/CD tools
- Strong problem-solving skills and ability to work independently with minimum supervision
- Excellent communication skills and ability to collaborate across technical and business teams
- Nice to have: Experience with data mesh or decentralized data architecture patterns
- Familiarity with streaming technologies (Kafka, Apache Flink)
- Knowledge of data security, encryption, and compliance frameworks (GDPR, HIPAA)
- Exposure to observability and monitoring tools (Grafana, Datadog, Prometheus, ELK stack)
- Agile/Scrum development experience
- Background in machine learning operations (MLOps) or data engineering best practices
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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