Vacancy Description
The Data Engineering Lead is a hands-on technical expert who builds scalable data platforms, data pipelines, automated tools, and reusable data products that expand the organization’s Data & AI capabilities.
This role also partners closely with Sales, Marketing, Product, and other business stakeholders to translate opportunities into clear data solutions and to ensure what we build drives measurable business impact and growth.
**Office location: Toronto - Canada**
**Work arrangement: Hybrid - 3 days in office, 2 days from home;**
**Remote working option is not available** **.**
**Position Responsibilities:**
1) Build scalable data platforms, products, and automation
+ Design and build scalable data pipelines, automated data tools, and reusable data products on modern cloud platforms such as Azure Databricks to accelerate AI and analytics value delivery.
+ Automate, modernize, and improve data pipelines and engineering p...
This role also partners closely with Sales, Marketing, Product, and other business stakeholders to translate opportunities into clear data solutions and to ensure what we build drives measurable business impact and growth.
**Office location: Toronto - Canada**
**Work arrangement: Hybrid - 3 days in office, 2 days from home;**
**Remote working option is not available** **.**
**Position Responsibilities:**
1) Build scalable data platforms, products, and automation
+ Design and build scalable data pipelines, automated data tools, and reusable data products on modern cloud platforms such as Azure Databricks to accelerate AI and analytics value delivery.
+ Automate, modernize, and improve data pipelines and engineering p...
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