Jobs / Reitmans (Canada) Limited
Data Cloud Engineer
Reitmans (Canada) Limited · Montréal, QC, Canada
Montréal, QC, CanadaExp: 3+ yrsHybrid
Remuneration
Comprehensive benefits, paid leave, sick days, vacation time, employee discounts, bonuses, and tuition reimbursement.
Location
Montréal, QC, Canada
Visa sponsorship
Not specified
Job summary
The Cloud Data Engineer designs and maintains cloud-based data platforms that consolidate enterprise data and support reporting, analytics, and machine learning. The role builds data warehouses, pipelines, models, and integrations; improves data quality and governance; and collaborates with business and technology teams using Snowflake, Microsoft Azure, or Google Cloud Platform.
Benefits
Comprehensive benefits programPaid leave, sick days, and vacation time50% discount on regular-priced merchandiseAnnual bonusesTuition reimbursementCareer advancement opportunities
Qualifications
- College diploma or university degree in Computer Science, Software Engineering, or a related field.
- At least 3 years of experience designing and developing large-scale data solutions.
- Hands-on experience with Snowflake, Microsoft Azure, or Google Cloud Platform.
- Knowledge of data warehousing, data lakes, dimensional modeling, and reporting schema design.
- Experience with relational and NoSQL databases, ETL/ELT processes, and analytics platforms.
- Experience building, deploying, and supporting cloud data pipelines and workloads.
- Strong analytical, troubleshooting, and problem-solving skills.
- Strong communication and collaboration skills.
- Ability to work effectively in a fast-paced, cross-functional environment.
- Bilingual in French and English.
Responsibilities
- Design, develop, and maintain a cloud data warehouse for enterprise data assets.
- Build and optimize pipelines for integration, reporting, analytics, and data activation.
- Gather stakeholder requirements and translate them into scalable cloud solutions.
- Support the design, testing, deployment, and enhancement of cloud data platforms.
- Develop data models, transformations, and frameworks that ensure data quality, reliability, and accessibility.
- Build solutions for machine learning and advanced analytics applications.
- Create and maintain technical documentation, project plans, specifications, and solution designs.
- Develop, test, and support integrations, cloud development, and data migrations.
- Contribute to data governance standards, best practices, and operational procedures.
- Mentor team members and support the enterprise data roadmap as a cloud data subject matter expert.
Skills
AzureGCPSnowflake
Degrees
College diploma or university degree in Computer Science, Software Engineering,
Languages
FrenchEnglish
Industry
Retail fashion
Relocation
No