Data Engineer

2 weeks ago


Toronto, Ontario, Canada Royal Bank of Canada> Full time

About the Opportunity

This is a unique opportunity within RBC's Wholesale Finance division to leverage our vast data assets and build innovative automation solutions and data analytics models. We are seeking a talented Data Engineer with a strong analytical background, a passion for emerging technologies, and a drive to contribute to the digital transformation of finance.

The Data Strategy team in Wholesale Finance is dedicated to developing cutting-edge data solutions that support key reporting automation initiatives. Our team comprises highly skilled professionals from diverse backgrounds in computer science, data analysis, business analytics, accounting, and finance, working collaboratively to deliver impactful solutions that drive data-driven decision making.

What You'll Do

  • Design and implement sustainable and scalable data pipelines utilizing the latest technologies.
  • Apply design thinking and an agile mindset to collaborate with business stakeholders, continuously iterating and delivering new initiatives.
  • Support data management processes, encompassing the acquisition, transformation, and storage of massive volumes of structured and unstructured data.
  • Leverage best practices in continuous integration and delivery.
  • Automate existing processes and optimize for efficiency and data quality.
  • Allocate 70-80% of your time to Data Engineering tasks with the remaining focused on Data Analysis.

What You Bring

  • Proven experience in designing, building, and maintaining data pipelines.
  • Strong understanding of data warehousing concepts and best practices.
  • Proficiency in SQL and other relevant data manipulation languages.
  • Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
  • Excellent analytical and problem-solving skills.
  • Ability to work effectively both independently and as part of a team.

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