Lead Data Engineer

3 weeks ago

Toronto, Ontario, Canada RBC - Royal Bank Full time

Job Summary

Job Description

What is the opportunity?
The Lead Data Engineer will be responsible for developing and applying proper data architecture to optimize our ability to access and leverage data. The incumbent will create data pipelines to transform raw data, stored in a wide range of repositories, into useable datasets to enable a talented team of data scientists and data analysts to work efficiently. Additionally, this role requires supporting the use and improvement of operational stability of the ML analytics platform within RBC.

What will you do?

  • Support the creation, design, and implementation of data pipelines
  • Engineer and implement solutions for efficient data workflows
  • Consult and support users on ETL practices
  • Provide support to users on analytics/ML platforms such as CP4D, CDP
  • Orchestrate analytics platform stability enhancements and drive them to completion
  • Research and propose new solutions integrating data and ML workflows using cloud technologies

What do you need to succeed?
Must Have

  • 8+ years of practical data engineering experience
  • Expert understanding of structured and relational data processing, ETL, big data processing, generation of analytical/statistical data features for use in ML training and inference pipelines.
  • Strong understanding of IBM CP4D platform, Openshift Cloud Platform, Cloud Storage technologies at RBC, CDP, Unix, and RBDMS technologies. Strong proficiency in Python, PySpark, Scala, R programming technologies.
  • Strong data analysis, business analysis, communication, and documentation skills.
  • Strong stakeholder management, facilitation, and knowledge of the retail and commercial credit risk business.

Nice to Have

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • MLOps/Engineering background with a track record of supporting the training of and implementing models into production settings.

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

#LI-Post

#LI-Hybrid

#TECHPJ

Job Skills

Big Data, Big Data Management, Business Analysis, Cloud Computing, Cloud Storage, Database Development, Databasing, Data ETL, Data Mining, Data Warehousing (DW), ETL Development, ETL Processing, ETL Tools, Group Problem Solving, Quality Management, Requirements Analysis, Retail Credit, Structured Data, Unstructured Data

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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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