Data Engineer; Global Security
What is the opportunity?
Join the Data Engineering, Management, and Insights team at RBC within the Security Insights and AI group under Global Security. This role is your chance to shape the future of data centralization at RBC by enhancing the Global Security Data Hub platform, built on Snowflake, a cutting-edge cloud data platform.
Job Description What is the opportunity?Join the Data Engineering, Management, and Insights team at RBC within the Security Insights and AI group under Global Security. This role is your chance to shape the future of data centralization at RBC by enhancing the Global Security Data Hub platform, built on Snowflake, a cutting-edge cloud data platform.
As a Data Engineer, you’ll play a pivotal role in designing, implementing, and supporting innovative tools and utilities that elevate the platform’s capabilities while streamlining workflows for end-users. Collaborate directly with fellow data engineers to architect and deploy robust data pipelines, turning complex challenges into scalable solutions. This is more than just coding—it’s about driving efficiency, security, and strategic decision-making across the organization.
If you thrive on turning data into actionable insights and want to be part of a team shaping the future of security and analytics, this is your opportunity to make a difference.
What will you do?- Build and Optimize Data Pipelines:
Design, develop, and enhance scalable ETL/ELT pipelines to migrate, transform, and load large datasets from diverse sources (e.g., databases, APIs, flat files), ensuring seamless integration for analytics, reporting, and AI solutions. - Drive Technical Innovation:
Leverage advanced tools and techniques to create reusable, secure, and efficient technical solutions that align with business needs and project lifecycle deliverables, including data sharing and governance. - Champion Snowflake Best Practices:
Guide users on effective Snowflake utilization, establishing standards for data consumption, storage, and workflow integration while designing and implementing high-impact stored procedures. - Collaborate Across Teams:
Partner with cross-functional stakeholders to translate data requirements into robust solutions that empower analytics, reporting, AI, and machine learning initiatives. - Strengthen Data Governance:
Implement and maintain best practices for metadata management, access controls, and compliance to ensure data integrity and security. - Ensure Performance and Scalability:
Monitor system performance, troubleshoot issues, and optimize queries/processes to maximize efficiency and scalability. - Automate and Streamline Workflows:
Use Python scripting and orchestration tools (e.g., Airflow) to automate platform utilities and workflows, reducing manual effort and enhancing reliability. - Document and Share Knowledge:
Create clear technical documentation for processes, architectures, and data models to foster team collaboration and institutional knowledge.
- Snowflake Expertise:
Hands‑on experience with Snowflake (e.g., designing stored procedures, optimizing queries, data storage/consumption best practices). - Data Pipeline Development:
Proficiency in building, optimizing, and maintaining ETL/ELT pipelines for large‑scale data migration and transformation. - Programming & Automation:
Strong scripting skills in Python for automation and tool development and experience with workflow orchestration tools (e.g., Airflow). - Data Governance & Security:
Knowledge of implementing data governance practices (metadata management, access controls, compliance). - Performance Optimization:
Skills in monitoring, troubleshooting, and optimizing database/query performance for scalability.
- Technical Collaboration &…
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