A leading IT consulting firm in Montreal is seeking a Data Engineer to design and develop data infrastructure for various clients, playing a crucial role in their AI projects. The successful candidate will have over 5 years of experience in data engineering, specializing in AI solutions, as well as proficiency in Python, SQL, and cloud services. Bilingualism in French and English is required. This position promises dynamic work in a collaborative team environment.
Qualifications
5+ years of experience as a Data Engineer.
Professional experience in data pipelines for AI solutions.
Mastery of best practices in Infrastructure-as-Code and CI/CD.
Experience in Agile and Scrum environments.
Certification in Cloud, Databricks, Snowflake, or similar.
Responsibilities
Design the architecture and map the data flows tailored to each client.
Create high-quality, reliable, and performance data pipelines.
Promote automation in IaC and CI/CD.
Integrate quality controls into deployments and data monitoring.
Work in a team of AI Developers, Data Scientists, and Project Managers.
Skills
Data pipelines for AI solutions
Infrastructure-as-Code
Agile methodologies
Collaboration
Bilingualism in French and English
Education
Bachelor's degree in Computer Science or equivalent
Tools
Python
SQL
Git
Docker
Spark
NoSQL
AWS
GCP
Azure
Job description
Overview
The Data Engineer will be responsible for designing and developing the data infrastructure for several of the company's clients to contribute to the success of their AI projects.
Responsibilities
Design the architecture and map the data flows tailored to each client
Create high-quality, reliable, and high-performance data pipelines
Promote automation in the creation, configuration, and evolution of IaC and CI/CD
Integrate various quality controls into deployments and data monitoring
Promote best practices in DevOps and MLOps
Work at the heart of a team of AI Developers, Data Scientists, and Project Managers, in constantly evolving environments primarily on Python, SQL, Git, Docker, Spark, NoSQL, Blob, AWS/GCP/Azure
Qualifications
5+ years of experience as a Data Engineer
Professional experience in data pipelines for AI solutions
Mastery of best practices in Infrastructure-as-Code and CI/CD
Comfortable in an Agile and Scrum environment, with a collaborative spirit and rigor
Experience and/or strong interest in multi-project mode and consulting services
Strong ability to explain technical concepts clearly to less technically oriented clients
Certification in Cloud, Databricks, Snowflake, or similar
Bachelor's degree in Computer Science or equivalent