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Closed listing

Snowflake Data Engineer

  • Montreal, QC, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Experience
Hands on experience 5+ years in Snowflake and virtual data warehouse set up
Posting language
English · French
Posted

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Original job description

Archived listing. The details below describe a past opening.

This listing includes English and French.

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
More about this job

Responsibilities

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, along with Snowflake data modeling experience. Candidates must have experience bringing semi-structured and unstructured data into Snowflake and a strong understanding of REST APIs; SQL, PL/SQL, Power BI semantic models, and Azure are also relevant.

Skills

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

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Snowflake
  • Databricks
  • Artificial Intelligence
  • Data Engineering
  • Virtual Data Warehouse
  • Data Modeling
  • Semi-Structured Data
  • Unstructured Data
  • REST API
  • Financial Reporting
  • SQL
  • PL/SQL
  • Power BI
  • Semantic Model
  • Azure

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