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Senior Data Engineer/ETL Developer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
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Original job description

1st Senior Data Engineer, 10+ years Experience

For ESG (Environmental and sustainability) Project: will want this person to do actual engineering. They will be creating from scratch- pure through and through the data that they have, creating the views that would eventually go into a dashboard, pipelines to transform the data, not so much analytics moreso data engineering the dashboarding. Working on a January delivery date: intaking data, transformation data and exporting back to vendors, creating views with tableau.

  • > strong motivation, trying to move the needle, can do best practices, go above and beyond and can be self sustained; work independently / self started
  • > Strong snowflake development- need experience developing this from scratch (i.e. someone who has snowflake data migration experience will not be enough. They want someone who has gone through the tribes and tribulations of development a new took and has that depth of experience.)
  • > Strong Python Development for Scripting
  • > Strong IICS Development- they will be hoping to move to QUALSYS in the new year (2026) and want someone with strong IICS as everything is informatica right now
  • > Strong ETL Development Background
  • > Strong Data Ware House Experience
  • > Tableau, least important

2nd Senior Data Engineer, 10+ years Experience

For Operational project: able to jump in and help with fixing any tables in the backend – this is where the curiosity comes into play and they want someone who can dig in on the logic layer. Use analytics to understand the logic, what’s going on with the data, are they getting the right data, etc ie if it’s a new request (new field), dashboarding creating a view so its available- not as heavy on dashboard side.

  • > strong motivation, trying to move the needle, can do best practices, go above and beyond and can be self sustained; work independently / self started
  • > Strong snowflake development- need experience developing this from scratch (i.e. someone who has snowflake data migration experience will not be enough. They want someone who has gone through the tribes and tribulations of development a new took and has that depth of experience.)
  • > Strong Python Development for Scripting
  • > Strong IICS Development- they will be hoping to move to QUALSYS in the new year (2026) and want someone with strong IICS as everything is informatica right now
  • > Strong ETL Development Background
  • > Strong Data Ware House Experience
  • > Tableau, least important
More about this job

Responsibilities

Build data engineering solutions from scratch, including data intake, transformation pipelines, vendor exports, and views for dashboards. Support operational data requests by investigating backend tables and logic, validating data, and creating views for new fields.

Requirements

Requires 10+ years of experience and strong hands-on development experience with Snowflake, Python scripting, IICS, ETL, and data warehousing. Candidates should be self-directed, motivated, able to work independently, and capable of investigating data logic and applying best practices.

Skills

  • Snowflake Development
  • Python Scripting
  • IICS Development
  • ETL Development
  • Data Warehousing
  • Data Engineering
  • Data Transformation
  • Data Pipelines
  • Tableau
  • Data Modeling
  • Data Integration
  • Backend Data Logic
  • Independent Work
  • Problem-Solving

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Environmental & Sustainability
  • Engineering

Keywords

  • Snowflake
  • Python
  • IICS
  • Informatica
  • ETL
  • Data Engineering
  • Data Warehousing
  • Data Pipelines
  • Data Transformation
  • Data Intake
  • Vendor Data Export
  • Tableau
  • Dashboard Views
  • Backend Tables
  • Data Logic
  • Data Validation
  • Operational Data
  • ESG
  • Environmental Sustainability
  • QUALSYS
  • Best Practices

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