Data Engineer

📋 Description Design, develop, and maintain data feeds and integration pipelines from source systems through Build integrations using REST APIs, SFTP, SQL Server, Snowflake, and other data sources. Develop Python applications and scripts for data ingestion, transformation, validation Develop and support Snowflake data pipelines, including incremental data-loading patterns and Apply Data Vault modeling principles, including Hubs, Links, Satellites, hash keys, hash Write and troubleshoot T-SQL for data extraction, transformation, validation, reconciliation, and 🎯 Requirements Production experience developing data feeds, data integrations, or data pipelines. Strong Python development experience, including data processing and transformation. Strong hands-on experience with Microsoft SQL Server and T-SQL, including complex queries, joins Hands-on experience with Snowflake, including data querying, loading, transformation, validation Experience with Data Vault modeling, including Hubs, Links, Satellites, hash keys, hash Experience developing and supporting Snowflake pipelines using stages, Snowpipe, Streams, Tasks 🎁 Benefits 4 weeks of cumulative vacation starting from day one Flexible working hours Professional Development Allowance (PDA) for training, computer equipment, and physical activities Training tailored to your areas of expertise Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary Modular group insurance plan