Data Engineer
1 week ago
Developer, Data Engineer Specialist
Main Responsibilities
Contribute to the development of Python libraries and applications.
Contribute to the migration and reengineering of existing datamart solutions to the new Snowflake platform.
Contribute to the development of Azure solutions and/or the migration of existing solutions to the Cloud.
Work closely with business analysts to identify and understand the sourcing of data from the systems as well as business rules that intervene in analytical solutions.
Write technical documentation and support the development team for activities related to the solutions.
Contribute to the maintenance and enhancement of complex business intelligence solutions.
Understand the enterprise architecture and follow the best practices in business intelligence and data.
Collaborate and share ideas with the communities of practice.
Ensure quality in the delivery and documentation of development activities, including rigorous testing.
Provide guidance to team members in the development of solutions according to the development patterns and solution design while contributing to team effectiveness.
Academic Background
Hold a bachelor's or master’s degree in computer science, software engineering, statistics or mathematics and/or the equivalent combination of education and experience in a technical role.
Seniority
Intermediate or Senior
Experience
3-5+ years of experience in Python programming and strong knowledge of SQL
Experience with cloud frameworks and the complete stack of Microsoft Azure (Azure Functions, Azure SQL, Service Bus, Event Hub, Event Grid, App Insights, Key Vault).
Experience building REST APIs.
Experience with multiple programming paradigms (OOD, Functional Programming, …)
Experience with design patterns and solution design.
Experience with code optimisation.
Experience in an agile delivery team, preferably with Scrum.
Competencies (Knowledge, Skills & Behaviors)
Knowledge of public & private markets investments is an asset.
Knowledge of Azure DevOps and Power BI is an asset.
Knowledge in advanced analytics and machine learning is an asset.
Understanding of quantitative processes such as data preparation and back testing is an asset.
Understanding of Agile Software Development methodologies.
Excellent French and English language (spoken and written) communication skills.
Knowledge of public markets, private markets, investment operations, investment accounting and investment analytics is an asset.
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