Expert.e en ingénierie de données

Résumé du poste

Design, develop, and maintain robust and scalable data pipelines integrating various sources like APIs, databases, and Kafka. Collaborate with AI, BI, and RO teams to provide reliable data for models and reports while ensuring code quality via Git/GitLab.

Détails du poste

Design, develop, and maintain robust and scalable data pipelines integrating various sources like APIs, databases, and Kafka. Collaborate with AI, BI, and RO teams to provide reliable data for models and reports while ensuring code quality via Git/GitLab. Requires 3 to 5 years of experience in data engineering or BI development with mastery of SQL and Python/PySpark. Mandatory experience with Snowflake, Databricks, or GCP is required, along with proficiency in Git and CI/CD workflows.

Ce que vous ferez

Design, develop, and maintain robust and scalable data pipelines integrating various sources like APIs, databases, and Kafka. Collaborate with AI, BI, and RO teams to provide reliable data for models and reports while ensuring code quality via Git/GitLab.

Exigences

Requires 3 to 5 years of experience in data engineering or BI development with mastery of SQL and Python/PySpark. Mandatory experience with Snowflake, Databricks, or GCP is required, along with proficiency in Git and CI/CD workflows.

Avantages

• Hybrid work model
• Flexible schedule
• 100% company-paid individual group insurance
• RRSP contribution up to 4% of salary (max $4,000)
• Annual training bonus
• Internet and cell phone allowance ($120/month)
• Annual physical activity allowance
• Home office setup allowance ($500)
• Parking or public transit reimbursement
• Free telemedicine service
• Social committees and team building events

Compétences indiquées

• SQL · Souhaitée
• Python · Souhaitée
• Git · Souhaitée
• CI/CD · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Python
• PySpark
• Snowflake
• Databricks
• Google Cloud Platform
• dbt
• Git
• GitLab
• CI/CD
• Data Pipeline Design
• Data Integration
• Quality Testing
• Data Modeling

Domaines d’emploi

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

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