Job Description

Job Title: Cloud Snowflake Data Engineer
Job Location, Montreal, QC (Hybrid 3 days onsite in a week)
Job Duration: Full Time

Job Description:

We are seeking an experienced Cloud Snowflake Data Engineer who will be responsible for designing, developing, and supporting data ingestion frameworks and scalable data systems using technologies like Snowflake, Spark, and Python. This role involves collaboration with stakeholders to deliver data-driven solutions, ensure data quality, and optimize performance in a cloud environment.

Responsibilities:

• Develop and support Data Ingestion Frameworks using Spark, Python scripting, Databricks, Snow pipe, and related technologies.
• Handle both structured and unstructured data to ensure accessibility for reporting, downstream processes, and data marketplace usage.
• Enhance data systems for better performance and scalability.
• Apply data quality and governance standards.
• Work closely with technology and business stakeholders to understand data requirements, deliver technical solutions, and provide data-driven insights.
• Contribute to team documentation and knowledge sharing by creating and maintaining technical documents and training materials.
• Review and approve design and code and help improve development processes.
• Share expertise within the broader data architecture community through presentations and knowledge sharing.
• Utilize DevOps practices such as Continuous Integration, Continuous Deployment, Test Automation, Build Automation, and Test-Driven Development, using tools like Git.

Requirements:

• Over 10 years of experience in Data Warehousing, data engineering, analytics, or enterprise architecture.
• Bachelor's degree in computer science or a related field.
• Strong grasp of Data Warehousing concepts, including data modeling and transformations.
• Proficient in relational databases and complex SQL queries.
• Good understanding of GenAi capabilities and implementations
• Good programming skills, especially in Python.
• Experience with Snowflake, Power BI, and enterprise data governance frameworks.
• Solid understanding of Unix shell scripting.
• Knowledge of DevOps implementation in data environments.
• Hands-on experience with Spark, Snowflake, and/or Databricks.
• Excellent communication and stakeholder engagement abilities.

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