Rbc
Staff,DataEngineer(GlobalSecurity)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Staff, Data Engineer (Global Security) at Rbc. Skills: Snowflake Expertise, Data Pipeline Development, ETL/ELT, Python, Airflow, Data Governance. Build and Optimize Data Pipelines. Design, develop, and enhance scalable ETL/ELT pipelines to migrate, transform, and load large datasets from diverse sources”
What You'll Achieve.
Deliver trusted advice to help our clients thrive and communities prosper; Achieving success that is mutual; Ability to make a difference and lasting impact; Create value for our clients and communities
Industry & Context.
Troubleshoot issues; Group Problem Solving; Critical Thinking; Problem Solving
What They're Looking For.
Must Have
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, scripting skills in Python for automation and tool development, 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
Nice to Have
Technical Collaboration & Communication, Ability to guide users/teams on platform best practices and present technical solutions in cross-functional meetings, DevOps & CI/CD Practices, Knowledge of version control (Git), containerization (Docker), or CI/CD pipelines for data engineering workflows, Documentation & Knowledge Sharing, Experience documenting technical processes, architectures, and data models for team use, Advanced Data Modeling, Experience designing dimensional models (e.g., star/snowflake schemas) or optimizing data warehouses for analytics
What You'll Do.
Build and Optimize Data Pipelines
and enhance scalable ETL/ELT pipelines to migrate
and load large datasets from diverse sources
Ensure seamless integration for analytics
Drive Technical Innovation
and efficient technical solutions
Champion Snowflake Best Practices
Guide users on effective Snowflake utilization
Establish standards for data consumption
and workflow integration
Design and implement high-impact stored procedures
Collaborate Across Teams
Translate data requirements into robust solutions
Strengthen Data Governance
Implement and maintain best practices for metadata management
Ensure Performance and Scalability
Monitor system performance
Optimize queries/processes
Automate and Streamline Workflows
Use Python scripting and orchestration tools (e.g.
Airflow) to automate platform utilities and workflows
Document and Share Knowledge
Create clear technical documentation for processes
How You'll Work.
Team & Collaboration
Partner with cross-functional stakeholders; Collaborate Across Teams; Guide users/teams on platform best practices; Present technical solutions in cross-functional meetings; Foster team collaboration; Work in a dynamic, collaborative, progressive and high-performing team; Collaboration; Working together as One RBC; Effectively collaborate
Communication Scope
Present technical solutions in cross-functional meetings; Share Knowledge; Communication
Full Job Description
**_Job Description_** 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. WHAT DO YOU NEED TO SUCCEED? * **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 larg
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