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Principal Data Engineering Developer

2 months ago

Montreal, Quebec, Canada National Bank Full time
About the Role

We are seeking a highly skilled Principal Data Engineering Developer to join our Data Management and Valorization team at National Bank. As a key member of our team, you will play a critical role in designing and implementing data engineering projects that drive business growth and innovation.

Key Responsibilities
  • Design and implement data pipelines for data ingestion, cleansing, and transformation to support business needs.
  • Develop and optimize data quality monitoring solutions to ensure data accuracy and integrity.
  • Collaborate with cross-functional teams to influence business lines and present data insights to drive strategic decision-making.
  • Take charge of complex data engineering initiatives, leveraging creativity and expertise to deliver high-quality results.
  • Participate in the identification and documentation of authoritative data sources to meet business needs.
  • Design and implement real-time data integration solutions that meet sector needs, adhering to best practices.
  • Develop and monitor performance indicators related to data analysis to inform business decisions.
  • Determine data analytics infrastructure needs and evolve the technology environment accordingly.
About the Team

Our Data Management and Valorization team is a collaborative and agile group that works closely with business lines to drive innovation and growth. As a Principal Data Engineering Developer, you will be part of a team of 9 colleagues and report to the Senior Director Data Foundation. We offer a hybrid work environment and flexible schedule to promote work-life balance.

What We Offer
  • Competitive compensation and benefits package.
  • Opportunities for professional growth and development through personalized training programs and internal mobility.
  • Access to cutting-edge collaboration tools and dynamic work environments.
  • A commitment to inclusivity and accessibility in the workplace.
Requirements
  • Relevant field training with 3 to 5 years of experience in data engineering.
  • Strong understanding of data models, structures, management, and engineering.
  • Proficiency in data manipulation, analysis, and prototyping, including data modeling.
  • Hands-on experience with big data manipulation using Pandas or Spark.
  • Skilled in one or more data manipulation languages: SAS, SQL, Python, Spark.
  • Familiarity with tools like JIRA, Jenkins, and Git.
  • Experience with cloud data warehouses such as Snowflake and/or Databricks.
Language

English (en-US)