Manager, Data Engineering

Key Skills

Analytical and Problem solving, Apache Hadoop, Big Data Technology, Data Analytics, Data Engineering, Data management, Data Mining, Data pipelines, Data science techniques, Database, DevOps, Employee life cycle, ETL frameworks, Github, Jenkins, Machine learning techniques, Natural Language Processing (NLP), Python Programming, SDLC, SPARK Programming, SQL, Teamwork

Job Description

What is the opportunity?

RBC Canadian Banking Operations (CBO) Data and Analytics Center of Excellence (COE) is hiring a Manager, Data and Analytics COE that will lead the enhancement of our data foundation through the engineering of critical data pipelines supporting strategic insights for CBO using cutting edge data capabilities.

What will you do?

• Develop and maintain the automated data pipelines and infrastructure necessary to enabling 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.

What will you need to succeed?

Must-have

• 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.

Nice-to-have

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

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.

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