Snowflake Data Engineer

Job summary

Build and work with Snowflake data warehouses and data models. Bring semi-structured and unstructured data into Snowflake, using relevant APIs and cloud technologies.

Job details

Role: Snowflake/Data Engineer role Location; Montreal, QC (In-person required) Duration: 12 Months Job Description: Must have experiences with Databricks/Snowflake/AI Qualifications: Hands on experience 5+ years in Snowflake and virtual data warehouse set up Snowflake data modeling Must have done projects where semi-structured and unstructured data is brought into Snowflake Deep understanding of using REST API Helpful to have /financial Reporting experience Hands on experience in SQL and PL SQL Power BI Semantic model experience Knowledge of Azure

What you’ll do

Build and work with Snowflake data warehouses and data models. Bring semi-structured and unstructured data into Snowflake, using relevant APIs and cloud technologies.

Requirements

Requires at least five years of hands-on experience with Snowflake and virtual data warehouse setup, plus experience with Snowflake data modeling and loading semi-structured and unstructured data. Requires a strong understanding of REST APIs, SQL, and PL/SQL; Power BI semantic model experience and Azure knowledge are also listed, while financial reporting experience is helpful.

Listed skills

• Microsoft Azure · Preferred
• SQL · Preferred
• REST APIs · Preferred
• Financial Reporting · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Snowflake
• Databricks
• Artificial Intelligence
• Virtual Data Warehouse Setup
• Snowflake Data Modeling
• Semi-Structured Data
• Unstructured Data
• REST APIs
• Financial Reporting
• SQL
• PL/SQL
• Power BI Semantic Models
• Azure

Job areas

• Data & Analytics
• Technology
• Software

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