Rbc
SeniorDataEngineer
Neural analysis suggests this role is
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“Senior Data Engineer at Rbc. Skills: Data pipelines, ETL/ELT, Informatica, dbt, SQL, Data modeling, Cloud platforms, Agile. Build and maintain scalable data pipelines supporting enterprise analytics and reporting. Develop ETL/ELT pipelines using Informatica and dbt”
What You'll Achieve.
Meet departmental and organizational objectives; Ensure accurate and efficient build out of data pipeline architecture within project timeframes; Deliver trusted advice to help our clients thrive and communities prosper; Achieve success that is mutual; Make a difference and lasting impact
Industry & Context.
Group Problem Solving; Troubleshoot production issues
What They're Looking For.
Must Have
3–6 years experience in data engineering or ETL development, Hands-on experience with Informatica ETL tools, Experience with dbt and ELT-based transformation frameworks, SQL skills and understanding of data modeling concepts, Experience working with enterprise data warehouses or cloud platforms, Bachelor's Degree or equivalent, Experience with source control (Git), testing frameworks, and CI/CD pipelines, Experience working in Agile engineering environments
Nice to Have
Experience with Snowflake, Databricks, or cloud data platforms, Experience with Python, Familiarity with data orchestration tools (Airflow, Control-M), Experience in banking or financial services data environments
What You'll Do.
Build and maintain scalable data pipelines supporting enterprise analytics and reporting
Develop ETL/ELT pipelines using Informatica and dbt
Ensure reliable and efficient data integration across multiple enterprise systems
Design and implement data ingestion and transformation pipelines
Develop ETL workflows using Informatica IICS
Build transformation models and data pipelines using dbt
Develop optimized SQL transformations for large datasets
Implement data quality checks and validation logic within ETL pipelines
Monitor data pipelines and troubleshoot production issues
Document data lineage
and technical architecture
How You'll Work.
Team & Collaboration
Works with department and lines of business subject matter expert (SMEs) across the enterprise to meet departmental and organizational objectives; Collaborate with data analysts and architects to design scalable data models; Participate in Agile development processes and code reviews; Working together to deliver trusted advice; Working together as One RBC; Effectively collaborate; Drive innovation; Grow professionally; Achieve success that is mutual
Process & Methodology
Follow end-to-end process standards and guidelines to ensure accurate and efficient build out of data pipeline architecture within project timeframes, Agile development processes
Full Job Description
**_Job Description_** **WHAT IS THE OPPORTUNITY?** We are seeking a Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics and reporting. The role will focus on developing ETL/ELT pipelines using Informatica and dbt, ensuring reliable and efficient data integration across multiple enterprise systems. The Data Engineer works with department and lines of business subject matter expert (SMEs) across the enterprise to meet departmental and organizational objectives. The engineer will follow end-to-end process standards and guidelines to ensure accurate and efficient build out of data pipeline architecture within project timeframes. **WHAT WILL YOU DO?** * Design and implement data ingestion and transformation pipelines. * Develop ETL workflows using Informatica IICS. * Build transformation models and data pipelines using dbt. * Develop optimized SQL transformations for large datasets. * Implement data quality checks and validation logic within ETL pipelines. * Monitor data pipelines and troubleshoot production issues. * Collaborate with data analysts and architects to design scalable data models. * Document data lineage, transformations, and technical architecture. * Participate in Agile development processes and code reviews. **WHAT DO YOU NEED TO SUCCEED?** **Must have:** * 3–6 years experience in data engineering or ETL development. * Hands-on experience with Informatica ETL tools. * Experience with dbt and ELT-based transformation frameworks. * Strong SQL skills and understanding of data modeling concepts. * Experience working with enterprise data warehouses or cloud platforms. * Bachelor's Degree or equivalent * Experience with **source control (Git), testing frameworks, and CI/CD pipelines**. * Experience working in **Agile engineering environments**. **Nice-to-have** : * Experience with **Snowflake, Databricks, or cloud data platforms**. * Experience with Python. * Familiarity with **data orchestration tools (Airflow, Control-
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