Data Engineering Manager

2 weeks ago

Toronto, Ontario, Canada Royal Bank of Canada Full time

Job Opportunity

Royal Bank of Canada is seeking a highly skilled Data Engineering Manager to lead the enhancement of our data foundation through the engineering of critical data pipelines supporting strategic insights for our Canadian Banking Operations using cutting-edge data capabilities.

Key Responsibilities

  • Develop and maintain automated data pipelines and infrastructure necessary to enable the measurement of operations performance through single-source-of-truth datasets.
  • Partner with business intelligence and workforce analytics teams to accelerate speed to strategic decision-making with quicker insight delivery through data engineering and support.
  • Collaborate with business partners to understand and develop requirements for the ingestion and transformation of source-system data into meaningful and relatable performance datasets.
  • Ensure sound governance and controls are in place for all data pipelines including adherence to documentation standards.

Requirements

  • Excellent analytical and problem-solving skills.
  • Demonstrated capability of leveraging SQL and Python to solve data problems.
  • Knowledge of and experience in design, development, and implementation utilizing big data technologies - Hadoop, Spark, Datameer, Teradata, SQL databases.
  • Ability to effectively communicate, verbally and in writing, technical concepts to a non-technical audience.
  • Comfort dealing with ambiguity and working independently.
  • Strong expertise in data engineering principles, practices, and tools including data modeling, ETL processes, data integration, and data warehousing.
  • Solid experience in software development lifecycle and working knowledge of DevOps pipelines (GitHub, Jenkins, UCD/Helios).
  • Proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms.

Preferred Qualifications

  • BSc. or Masters in Mathematics, Statistics, Engineering or Computer Science.
  • Experience automating routine reporting work.
  • Experience within Canadian Banking Operations.

What We Offer

  • Work in a safe, secure, and positive work environment.
  • Work with a dynamic team focused on innovation and collaboration.

Job Skills

  • Actuarial Modeling, Big Data, Big Data Technologies, Commercial Acumen, Computer Science, Data Analysis, Data Engineering, Data Management, Data Mining, Data Pipelines, Data Science, Datasets, Decision Making, DevOps, Group Problem Solving, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Software Development Life Cycle (SDLC), Structured Query Language (SQL), Teamwork

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