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Data Engineering Manager

2 months ago

Old Toronto, Ontario, Canada Royal Bank of Canada> Full time
Job Summary

We are seeking a seasoned professional to lead the enhancement of our data foundation through the engineering of critical data pipelines supporting strategic insights for our Canadian Banking Operations.

This role will be responsible for developing and maintaining automated data pipelines and infrastructure necessary to enable the measurement of operations performance through single-source-of-truth datasets.

Key Responsibilities
  1. Partner with business intelligence and workforce analytics teams to accelerate speed to strategic decision-making with quicker insight delivery through data engineering and support.
  2. Collaborate with business partners to understand and develop requirements for the ingestion and transformation of source-system data into meaningful and relatable performance datasets.
  3. Ensure sound governance and controls are in place for all data pipelines including adherence to documentation standards.
Requirements

Must-have:

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

Nice-to-have:

  1. BSc. or Masters in Mathematics, Statistics, Engineering or Computer Science is preferred.
  2. Experience automating routine reporting work.
  3. Experience within Canadian Banking Operations.
What We Offer

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.

Work in a safe, secure and positive work environment.

Work with a dynamic team focused on innovation and collaboration.

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Software Product Management, Waterfall Project Management.