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    Data Engineer - TORONTO, Canada - Royal Bank of Canada

    Royal Bank of Canada
    Royal Bank of Canada TORONTO, Canada

    1 week ago

    Royal Bank of Canada background
    Full time
    Description

    Job Summary

    Job Description

    What is the opportunity?

    As a Data Engineer, you will design, implement, and support Data Engineering solutions and processes across a global organization. We are looking for a Data Engineer with hands-on experience in designing and developing data platforms. This role brings strong data architecture and data engineering skills, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively. This role requires strong interpersonal, organizational, and problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities at times.

    What will you do?

    • Design Cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning.
    • Demonstrates outstanding understanding of Cloud (Snowflake) services especially in the data engineering and analytics space.
    • Work closely with data team, and other stakeholders to understand their data requirements and assist in building data solutions that cater to their needs.
    • Design, Develop and support new and existing batch and real-time data pipelines and recommend improvements and modifications.
    • Communicate strategies and processes around data modeling and architecture to cross-functional groups. Identify, design, and implement internal process improvements.
    • Utilize your expertise in data transformation techniques to enrich raw data, making it more accessible and valuable for analytics and reporting purposes.
    • Build and implement ETL frameworks to improve code quality and reliability.
    • Ensure accuracy and consistency of data processing, results, and reporting.
    • Leverage your experience to drive best practices in ML and data engineering.

    What do you need to succeed?

    Must Have

    • A minimum of 3 years of hands-on Data Engineer experience, with a proven track record of delivering data solutions.
    • 2+ years of hands-on experience in system integration, cloud architecture (Snowflake or Azure), and technologies.
    • Solid Experience in building and optimizing data pipelines, architectures, and datasets.
    • Solid grasp/experience with data technologies & tools (Hadoop, PySpark etc.)
    • Experience with full end-to-end data solutions, including data needs, data modelling, and data visualizations.
    • Proficiency in programming languages such as Python and SQL.
    • Strong Knowledge of SQL and NoSQL solutions, including data modeling and optimization.
    • Defining and building scalable ETL/ELT workflows for reporting and analytics.
    • Developing scripts and programs for converting various types of data into usable formats.
    • Excellent collaboration skills and proven ability to adapt to challenges, coaching and mentoring.
    • Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities.

    Nice to Have


    • PhD or master's degree in Statistics, Mathematics, or Computer Science.


    • Knowledge of machine learning algorithms and their implementation.


    • Experience working in a financial institution

    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
    • Flexible work/life balance options
    • Opportunities to do challenging work
    • Opportunities to take on progressively greater accountabilities
    • Access to a variety of job opportunities across business and geographies

    Job Skills

    Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

    Additional Job Details

    Address:

    180 WELLINGTON ST W:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    Wealth Management

    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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