Job DescriptionWhat is the opportunity?As a senior experienced engineer, you will be responsible for building and managing data platforms and pipelines for Data Science with appropriate data governance and security. You will work with data scientists and peer data engineers to actively solve business problems and delivering value using agile methodology. You will work with technical and business stakeholders to build and maintain an optimized and scalable data pipeline and democratize data. You will participate in the architecture review and approval process. You will be also responsible for working closely with data scientists in the area of data ingestion and feature engineering, establishing coding best practices, maintaining and managing technical documentation and incident triaging and resolution.What will you do?As part of the Data Engineering team, you will encompass an end to end view from data sourcing, lineage, quality, transformation and storage.Execute Development and Integration activities (planning, execution, testing, deployment and post implementation support) of existing and new data and visualization Technologies (e.g. Omni-Channel reporting, Gamification/Visualization).Prepare data to be used for diagnostic/descriptive reporting and data science work.Build container based solutions, pipelines, APIs/Microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platformsCollaborate with Data scientists, Process Engineers and Business Stakeholders to develop data pipelines, and assist with prescriptive and predictive analytics through consolidated dataIdentify and resolve data movement/transformation/processing bottlenecksResearch emerging Data and Visualization technologies trends/best practices and propose solutions for Technology and Business partners.Mentor junior team membersWhat do you need to succeed?Must Have:Bachelor’s degree in Computer Science, Engineering or equivalentExperienced in building end to end data pipelinesDemonstrated leadership skills; ability to identify / foresee issues and to proactively recommend and build resilient solutionsAdvanced SQL knowledge and experience working with relational databasesExperience in developing scalable, configurable applications using Python and application frameworksKnowledge of relevant security considerations for applications on cloudKnowledge of VMs and various MLOps platforms such as WandB, AWS SageMakerKnowledge of AWS5+ years of hands-on experience in following key areas:Data engineering solutions: Logstash, Python, SQL Server, Kafka, Hadoop, Spark, ScalaAPI: Flask, Node.JS, Django, and Microservices technologiesAutomation/DevOps: Github Actions, Airflow, UCD, Selenium and similar technologiesCloud technologies: Openshift, PCF, Docker, KubernetesGit & code version managementNice to HaveMaster’s degree in Computer Science, Engineering, or equivalentSupervised and Unsupervised Machine learning, Natural Language ProcessingSecurity frameworks: LDAP, Kerberos, OAuth 2.0, Vault integrationExperience working in agile environmentTableauWhat’s in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamA world-class training program in financial servicesFlexible work/life balance optionsOpportunities to do challenging work#LI-Post#TechPJJob Skills Agile Methodology, Cloud Computing, Data Architecture, Database Development, Database Queries, Data Ingestion, Data Lake, Data Movement, Data Pipelines, ETL Processing, Group Problem Solving, Linux, Python (Programming Language)Additional Job DetailsAddress: BAY WELLINGTON TOWER, 181 BAY ST:TORONTOCity: TorontoCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: CHIEF LEGAL & ADMIN OFFICE GRPJob Type: RegularPay Type: SalariedPosted Date: 2025-08-21Application Deadline: 2025-09-05Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at .
