Data Engineer
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English · French
- Posted
Original job description
English section of this bilingual listing.
The Data Engineer will be responsible for the integration, reliability and performance of data platforms on Snowflake and AWS for a large-scale organization, while contributing to innovative artificial intelligence projects.
MORE PRECISELY
- Design and maintain data integration pipelines (ETL/ELT)
- Build robust data warehouses on Snowflake
- Respond quickly to critical database incidents
- Create models and implement MLOps and DevOps practices
- Integrate generative AI (GenAI) technologies into IT processes
- Present projects to internal stakeholders
- Collaborate within a team of about 5 people
- Work in an environment based on SQL, Python, Snowflake, Linux and AWS
PROFILE
- 3+ years of professional experience as a Data Engineer
- Mastery of SQL and Python
- Experience with Snowflake and Amazon Web Services (AWS)
- Good knowledge of Linux environments
- Strong interest in generative AI and machine learning
- Experience with MLOps (Machine Learning Operations) and DevOps (asset)
- Ability to explain technical concepts in simple terms
- Curiosity, autonomy and fast learning ability
- SnowPro Core or AWS certification (asset)
- Bachelor's degree in computer science or equivalent
- Bilingualism (French required, English functional)
______________
Découvrez +60 autres opportunités en TI au Canada
Discover +60 other IT jobs in Canada
🆕 https://delan.qc.ca/opportunites-ti/
Emplois permanents, mandats de consultation, postes exécutifs
Permanent jobs, consulting mandates, executive positions
______________
Read the full bilingual original
Le Data Engineer sera responsable de l'intégration, de la fiabilité et de la performance des plateformes de données sur Snowflake et AWS d'une organisation d'envergure, tout en contribuant à des projets innovants en intelligence artificielle.
PLUS PRÉCISÉMENT
- Concevoir et maintenir des pipelines d'intégration de données (ETL/ELT)
- Développer des entrepôts de données robustes sur Snowflake
- Intervenir rapidement lors d'incidents critiques sur les bases de données
- Créer des modèles et mettre en place des pratiques MLOps et DevOps
- Intégrer des technologies d'IA générative (GenAI) aux processus TI
- Présenter les projets aux parties prenantes internes
- Travailler au cœur d'une équipe d'environ 5 personnes
- Œuvrer dans un environnement sur SQL, Python, Snowflake, Linux et AWS
PROFIL
- 3+ années d'expérience professionnelle comme Data Engineer
- Maîtrise de SQL et de Python
- Expérience en Snowflake et en Amazon Web Services (AWS)
- Bonnes connaissances en environnement Linux
- Intérêt marqué pour l'IA générative et l'apprentissage automatique
- Expérience en MLOps (Machine Learning Operations) et DevOps (atout)
- Aisance à vulgariser des concepts techniques
- Curiosité, autonomie et grande facilité d'apprentissage
- Certification SnowPro Core ou AWS (atout)
- BAC en informatique ou l'équivalent
- Bilinguisme (Français requis, Anglais fonctionnel)
______________
The Data Engineer will be responsible for the integration, reliability and performance of data platforms on Snowflake and AWS for a large-scale organization, while contributing to innovative artificial intelligence projects.
MORE PRECISELY
- Design and maintain data integration pipelines (ETL/ELT)
- Build robust data warehouses on Snowflake
- Respond quickly to critical database incidents
- Create models and implement MLOps and DevOps practices
- Integrate generative AI (GenAI) technologies into IT processes
- Present projects to internal stakeholders
- Collaborate within a team of about 5 people
- Work in an environment based on SQL, Python, Snowflake, Linux and AWS
PROFILE
- 3+ years of professional experience as a Data Engineer
- Mastery of SQL and Python
- Experience with Snowflake and Amazon Web Services (AWS)
- Good knowledge of Linux environments
- Strong interest in generative AI and machine learning
- Experience with MLOps (Machine Learning Operations) and DevOps (asset)
- Ability to explain technical concepts in simple terms
- Curiosity, autonomy and fast learning ability
- SnowPro Core or AWS certification (asset)
- Bachelor's degree in computer science or equivalent
- Bilingualism (French required, English functional)
______________
Découvrez +60 autres opportunités en TI au Canada
Discover +60 other IT jobs in Canada
🆕 https://delan.qc.ca/opportunites-ti/
Emplois permanents, mandats de consultation, postes exécutifs
Permanent jobs, consulting mandates, executive positions
______________
Suivez-nous sur LinkedIn / Follow us on LinkedIn
💻 www.linkedin.com/company/DelanTI
______________
More about this job
Responsibilities
Design and maintain ETL/ELT pipelines and robust Snowflake data warehouses, while ensuring the reliability and performance of data platforms on Snowflake and AWS and responding to critical database incidents. Develop models and MLOps/DevOps practices, integrate generative AI into IT processes, and present projects to internal stakeholders as part of a small team.
Requirements
Requires at least three years of professional Data Engineer experience, strong SQL and Python skills, experience with Snowflake and AWS, and good knowledge of Linux. A computer science bachelor's degree or equivalent is required; interest in generative AI and machine learning, clear communication, and French proficiency with functional English are also specified, while MLOps/DevOps experience and SnowPro Core or AWS certification are assets.
Skills
- SQL
- Python
- Snowflake
- Amazon Web Services
- Linux
- ETL/ELT Pipelines
- Data Warehousing
- Database Incident Response
- MLOps
- DevOps
- Generative AI
- Machine Learning
- Technical Communication
- Stakeholder Presentations
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
Keywords
- Data Engineering
- SQL
- Python
- Snowflake
- Amazon Web Services
- AWS
- Linux
- ETL
- ELT
- Data Integration
- Data Pipelines
- Data Warehousing
- Database Reliability
- Database Performance
- Incident Response
- MLOps
- DevOps
- Generative AI
- Machine Learning
- Technical Communication
- Stakeholder Presentations
- SnowPro Core
- Computer Science
- French
- English