Data engineer

Job summary

Build and work with Snowflake virtual data warehouses and data models. Bring semi-structured and unstructured data into Snowflake, using REST APIs and tools such as Talend, SQL, PL/SQL, Power BI, and Azure.

Job details

Position: Senior Data Engineer Location: Montreal, QC (3 days onsite is must) Duration: 12 Months Mode of Interview: Video + Viedo + F2F 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 3+ years 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 virtual data warehouses and data models. Bring semi-structured and unstructured data into Snowflake, using REST APIs and tools such as Talend, SQL, PL/SQL, Power BI, and Azure.

Requirements

Requires at least five years of hands-on experience with Snowflake and virtual data warehouse setup, including Snowflake data modeling and projects involving semi-structured and unstructured data. Also requires a deep understanding of REST APIs, at least three years of Talend experience, hands-on SQL and PL/SQL experience, Power BI semantic model experience, and knowledge of Azure.

Listed skills

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

Other relevant skills

Identified from the job description. Confirm important requirements above.

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

Job areas

• Data & Analytics
• Technology
• Software
• Consulting