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Data Engineer – Snowflake / DBT

  • Toronto, ON, Canada

$45 to $50 CAD / hour · Contract

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Job details

Pay
$45 to $50 CAD / hour
Job type
Contract
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Posting language
English
Posted

Original job description

We are looking for an experienced Data Engineer with strong hands-on expertise in Snowflake and dbt to design, develop, and maintain scalable data solutions.

Key Responsibilities & Requirements:

  • Strong hands-on experience with Snowflake and dbt (Data Build Tool).
  • Proficiency in SQL for complex queries, data transformation, validation, and performance optimization.
  • Experience with ETL/ELT pipelines, data integration, and data quality processes.
  • Knowledge of data modeling, data warehousing, and end-to-end data architecture.
  • Ability to collaborate with business and technical teams to deliver reliable data solutions.
  • Python programming experience is an asset.
  • P&C (Property & Casualty) Insurance domain experience is a plus.
More about this job

Responsibilities

Design, develop, and maintain scalable data solutions using Snowflake and dbt. Build and support data pipelines and transformations, ensuring data quality, validation, and performance.

Requirements

Requires hands-on experience with Snowflake and dbt, strong SQL skills, and experience with ETL/ELT pipelines, data integration, and data quality processes. Knowledge of data modeling, warehousing, and end-to-end data architecture is expected; Python experience and P&C insurance domain knowledge are assets.

Skills

  • Snowflake
  • dbt
  • SQL
  • ETL/ELT Pipelines
  • Data Integration
  • Data Quality
  • Data Modeling
  • Data Warehousing
  • Data Architecture
  • Python
  • Performance Optimization
  • Data Transformation
  • Data Validation
  • P&C Insurance

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Data Engineering
  • Snowflake
  • dbt
  • Data Build Tool
  • SQL
  • Python
  • ETL
  • ELT
  • Data Pipelines
  • Data Integration
  • Data Quality
  • Data Modeling
  • Data Warehousing
  • Data Architecture
  • Data Transformation
  • Data Validation
  • Performance Optimization
  • P&C Insurance
  • Property & Casualty Insurance
  • Banking

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