Senior Data Engineer

Job summary

Build and model data in Snowflake, including projects that ingest semi-structured and unstructured data. Support data integration and financial reporting using tools and technologies such as Talend, REST APIs, SQL, Power BI, and Azure.

Job details

Position: Senior Data Engineer Location: Montreal, QC (Hybrid - 3 days onsite is must) Duration: 12+ Months Contract In-person Interview mandatory after Initial Video Interview Must Have : Databricks/Snowflake/AI/Financial Reporting 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 Hands on background in Talend Hands on experience in SQL and PL SQL Power BI Semantic model experience Knowledge of Azure

What you’ll do

Build and model data in Snowflake, including projects that ingest semi-structured and unstructured data. Support data integration and financial reporting using tools and technologies such as Talend, REST APIs, SQL, Power BI, and Azure.

Requirements

Requires at least five years of hands-on experience with Snowflake, including virtual data warehouse setup and data modeling. Candidates must also have experience with semi-structured and unstructured data, REST APIs, Talend, SQL and PL/SQL, Power BI semantic models, and Azure.

Listed skills

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

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Snowflake
• Virtual Data Warehousing
• Data Modeling
• Semi-Structured Data
• Unstructured Data
• REST APIs
• Talend
• SQL
• PL/SQL
• Power BI
• Semantic Modeling
• Azure
• Databricks
• AI
• Financial Reporting

Job areas

• Data & Analytics
• Technology
• Software
• Finance & Accounting

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