Description
A career as a data engineering developer in the Personal Data Management and Valorization - Data Foundation team at National Bank means acting as an analytical data specialist. This job allows you to make a concrete impact on our organization thanks to your expertise in data ingestion, transformation and modeling, as well as your mastery of cloud tools and massive data environments.
Your job
- Design and automate high-performance data pipelines from ingestion to release;
- Optimize SQL queries to improve the speed and quality of processing;
- Implement data quality integration and monitoring solutions;
- Identify authorized data sources and document their use;
- Participate in the evolution of the analytical technology infrastructure according to business needs;
- Carry out complex mandates requiring creativity, rigor and collaboration.
Within the Data Management and Valorization Individuals sector, you are part of a team of 10 colleagues and report to the Senior Director, Data Foundation. Our team stands out for its expertise, collaboration and the quality of its deliveries. We aim to offer you maximum flexibility to promote your quality of life. This is reflected in a hybrid work environment, as well as a flexible and adaptable schedule.
The Bank values continuous development and internal mobility. Our personalized training programs, based on learning in action, allow you to master your craft and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.
Prerequisite
- Bachelor's degree in a related field and 5 years of relevant experience OR related master's degree and 3 years of experience
- Mastery of best practices in data management, modeling and engineering (data vault, dimensional)
- Experience in handling and processing big data
- Knowledge of SQL and Python languages
- Familiarity with tools like JIRA, Jenkins, Git, SSIS
- Knowledge of a cloud data warehouse such as Snowflake or Databricks