A career as a Senior Data Engineering Analyst in the Cross-Functional Cybercrimes Data team at National Bank means acting as an Analytics Data Specialist.
You will work on data engineering projects such as designing databases, creating data pipelines for data ingestion, cleansing, and transformation, and optimizing the performance of data processing systems.
This job allows you to have a positive impact on our organization, thanks to your experience and recognized skills in data engineering.
Your job
- Influence business lines in the organization and presentation of data and participate in data strategy
- Participate in the identification and documentation of authoritative data sources that meet the needs of our business lines
- Participate in the evolution of processes and tools and guide the choice of data analysis tools;
- Implement and monitor performance indicators related to data analysis;
- Determine data analytics infrastructure needs and evolve the technology environment accordingly
- Participate in the design and development of structured and unstructured data acquisition solutions
- Be required to work in environments of massive data, distributed computing.
Your team
At the bank, data engineering is present in all lines of business and we work in an agile, proactive and collaborative manner to seize opportunities, stay on the cutting edge of technology and continuously improve processes.
Within the Financial Crime sector, you are part of a large team and report to the Senior Director - Analytical Assets. Our team stands out for its dynamism, multidisciplinarity and management and delivery of business and technological projects related to the management of personal information throughout the company.
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 Udemy, the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.
Prerequisite
- Education and min 5 years of experience relevant to the field
- Good knowledge of models, structure, data management and data engineering
- Experience in data manipulation, structure, management, analysis and prototyping as well as knowledge of data modeling (data vault, dimensional)
- Knowledge of one or more data manipulation languages : SAS, SQL, Python,
- Knowledge of a cloud data warehouse such as Snowflake and / or Databricks.
Skills
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Communication Data pipeline Data Structures Data Visualization Data-Driven Decision-Making Detail-oriented Empathy Initiative Learning Agility Problem Solving Python Resiliency Snowflake SQL Teamwork
Your benefits
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In addition to competitive compensation, upon hiring you'll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family.
- Health and wellness program, including many options
- Flexible group insurance
- Generous pension plan
- Employee Share Ownership Plan
- Employee and Family Assistance Program
- Preferential banking services
- Opportunities to get involved in community initiatives
- Telemedicine service
- Virtual sleep clinic
These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees' ideas.
Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.
We're putting people first :
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We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives.
Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We want to offer an accessible, barrier-free workplace to all employees.
We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us.
We welcome all candidates! What can you bring to our team?
Come live your ambitions with us!