Data Engineer

Location: Montreal, QC ( 3 days onsite is must)

• Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
• Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
• Identify and optimize new/existing data workflows.
• Identify and implement data integrity practices.
• Integrate data governance and data science tools with Snowflake ecosystem as per practice.
• Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
• Collaborate with team members to design and implement effective data workflows and transformations.
• Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
• Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
• Participate in code reviews and provide constructive feedback to improve team deliverables quality
• Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
• Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
• Design, implement data distribution layer using Snowflake REST API.

• Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
• 5 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.