Responsibilities

- Design and develop robust enterprise applications that impact operations in Java (backend) and Angular (frontend).
- Develop reusable components, libraries and utilities to accelerate solution development within the team.
- Take charge of end-to-end deliveries: from understanding the need to production deployment, including design, development, testing, documentation and support.
- Leverage the data available on Databricks and develop Python and SQL scripts for automation, prototyping, and data validation.
- Analyze and understand the business needs of different stakeholders in order to propose appropriate application and analytical solutions.
- Collaborate closely with business teams, data analysts and other developers to ensure the relevance and quality of the solutions delivered.

Requirements

- Minimum of 6 years of experience related to the mandate, senior resource.
- Very good knowledge of best practices in data engineering and data modeling.
- Very valuable knowledge of the Azure Databricks and Azure Data Factory platform, their functionalities,



including Azure DevOps for source code management and branching.
- Very good knowledge of the Python programming language and SQL.
- Good understanding of the ETL concept, medallion architecture and processes related to data ingestion and exposure in the context of cloud analytics solutions.
- Good understanding of distributed data processing concepts, Spark and big data.
- Good knowledge of Python libraries, how to use them and how to create new ones with a view to reuse.
- Knowledge of MLOps tools, the artificial intelligence solutions lifecycle and related concepts.
- Knowledge of the Agile process within the framework of a DevOps working group and of JIRA and Confluence software.
- Experience with VS Code or another text editor.
- The candidate must be located in Quebec and be able to work in a hybrid model (twice a week at the Montreal office, depending on client demand).

The resource must be located in Quebec.

📌 Big Data Developer on Fulltime (Montreal)
🏢 KData AI
📍 Montreal