Job Description

What is the opportunity?

The DNA (Data & Analytics) group is responsible for enabling RBC to become a data-driven organization. As part of this mission, DNA works across the enterprise to create and build data-driven solutions to serve our clients better. 
 
We are building data-driven products and services/API’s to tackle challenging and interesting data-related problems using RBC's massive internal datasets (client relationships, user behavior across channels, transactions, etc….) and strategically partner with the business to enable client interactions to be informed by Artificial Intelligence (AI).

As a Software Engineer within the Enterprise Client product team of the DNA Organization this role will be responsible for working closely with Product Analyst team to resolve Data Quality Issues leveraging existing tools and API/Processes

What will you do?

• Establishing workflow to support ongoing BAU requirements including client onboarding and issue resolution

• Proactively improve data quality via monitoring, testing, merchant research and supporting ongoing improvements to the merchant resolution methodology

• Leverage best practices in continuous integration to build and deploy applications to production leveraging DevOps pipeline

• Lead effort to identify and automate toil

• Work in a fast-paced environment, sometimes with multiple customer engagements at once

• Participate in code reviews for the engineers on your team, ensuring our delivery of clean, well-tested, and performant software

 What do you need to succeed?

Must-have

• Bachelor’s degree in computer science, software engineering, or equivalent

• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions

• Experience in developing scalable, configurable applications using Python/Java/Scala and application frameworks (e.g. Spring, Spring Boot, etc)

• Experience with streaming or messaging technologies (Kafka, etc…); Experience leveraging big data technologies (Hadoop, Spark, and related technologies) to build data products and services

• Strong foundational knowledge of relational databases (MySQL, SQL Server, etc…) and NoSQL stores (Elasticsearch, Redis, MongoDB, etc…)

• A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency and helping others

 Nice-to-have

• Knowledge of public cloud environments (Azure & AWS)

• Experience deploying to and running applications on Kubernetes/Openshift

• Experience building or executing Machine Learning pipelines

• Experience building operational REST APIs

• Knowledge of vulnerability mitigation, identity management, public and private cloud security risks, and security best practices