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    Lead Data Engineer, Gft - Toronto, Canada - RBC - Royal Bank

    RBC - Royal Bank background
    Full time
    Description

    Job Summary

    Job Description

    What is the opportunity?

    Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us

    Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

    As a lead data engineer, you will be working on our regulatory project - RM (Risk Modernization), under GFT Programs. The primary focus of this role is to provide engineering expertise, covering design, implementation, and support of the RM applications, namely Aggregation of Market Risk and Market Data Shocks and Scenarios generation. Additional focus will be to work with other internal application development teams.

    What will you do?

    • Creating software for retrieving, parsing, and processing Market risk data
    • Defining and building scalable ETL/ELT workflows for reporting and analytics.
    • Supporting project teams to scale, monitor and operate data platforms for very high availability and performance.
    • Developing scripts and programs for converting various types of data into usable formats.
    • Could be responsible for overall design, development, and team coordination on the business system/application.
    • Significant independent judgment is to be used and will be expected to act as a technical leader on projects.

    What do you need to succeed?

    Must Have

    • 5+ years application development experience in Hadoop, Spark and Java/Scala.
    • 10+ years application development experience in Java and Spring Framework
    • 5+ years in developing and optimizing Big Data applications using Java/Scala and Spark on Cloudera/HDP.
    • Experience in developing/designing micro-service architecture.
    • Extensive experience in one of the cloud providers AWS/Azure, in building end to end data pipelines.
    • Expert knowledge of containerization - Docker, Kubernetes, OpenShift etc.
    • Experience in developing applications in Spring & Spring Boot
    • Programming experience in Python (2+ years)
    • Working knowledge of Jenkins CI, Git, CI/CD pipelines
    • Ability to work with multiple stakeholders - business and technical

    Nice to Have

    • Experience in migrating large scale complex projects from on-prem to Cloud including in-between hybrid options
    • Experience in Azure Databricks
    • Knowledge in Market Risk/Capital Markets/Banking.

    What'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 applicable
    • Leaders who support your development through coaching and managing opportunities
    • Ability to make a difference and lasting impact
    • Work in a dynamic, collaborative, progressive, and high-performing team
    • A world-class training program in financial services
    • Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients
    • Access to a variety of job opportunities across business and geographies.

    #LI-Post

    #LI-Hybrid

    #LI-PK

    #TECHPJ

    Job Skills

    Amazon Redshift, Apache Hadoop, Apache Spark, AWS Cloud Computing, Big Data Management, Cloud Computing, Data Warehouse Development, Docker (Software), Java, Kubernetes, Microservices Architecture, Microsoft Azure, Microsoft Azure Databricks, Python (Programming Language), Red Hat OpenShift, Requirements Analysis, Scala (Programming Language), Snowflake (Platform), Spring Framework

    Additional Job Details

    Address:

    RBC CENTRE, 155 WELLINGTON ST W:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    Technology and Operations

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    Application Deadline:

    Inclusion and Equal Opportunity Employment

    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
    ​​​​​​​
    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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