Job Description

What will you do?

• Responsible for building and supporting data applications from concept to production and maintenance while leveraging existing tools and/or recommending new technologies within the IA Ecosystem
• Collaborate with data scientists, product managers and engineers to design, develop and deploy data solutions within the IA Ecosystem
• Responsible for every step of the data process from data ingestions, management, architecture, transformation, integration with business processes and all related production support
• Manage, optimize, oversee and monitor data/model pipelines and UI used to inform data product stakeholders
• Gather details from business and stakeholders in order to determine project scope and expected outcome and build data products accordingly
• Effectively communicate technical concepts through oral and written skills across cross-functional groups
• Support tooling and automation for the DevOps pipeline and various Software Development Life Cycle (SDLC) activities

What do you need to succeed?

• 4-Year Undergraduate STEM degree (e.g. B.Com., B. Math, B.Sc ,P. Eng.)
• Strong development expertise using Python (Pandas/Numpy), SQL (MSSQL T-SQL, Spark)
• Familiarity with tools, such as GitHub and Jenkins, as well as software development processes to manage implementation of centralized code and software releases.
• Strong knowledge and experience with traditional and NoSQL database technology and a fundamental understanding of data flow and handling

Job Summary

RBC Internal Audit Services is hiring a Data Engineer who will build consistent, relevant and impactful data products, reporting solutions and visualizations for Internal Audit (IA) by leveraging the IA Ecosystem. In collaboration with data scientists, product managers and engineers, the individual will design, develop and deploy solutions. You will determine and utilize best practices in RBC/market, identify potential new data elements to capture or re-purpose their current usage