Data Engineer to support data services and products that increase velocity and quality of data to drive business insights and analytics across the organiza
S.i. Systèmes
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
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Emploi Contrat
- Publié il y a 1 jour(s)
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Data Engineer for creation and support of data services and products that increase velocity and quality of data to drive business insights and analytics across the organization
Location: Toronto OR London
HYBRID: 3 days onsite
Duration: 3 month contract with potential of extension
Candidates must be eligible for clearance
Description:
The role is part of the Enterprise Data Enablement Team and is responsible for the engineering, creation, and support of data services and products that increase velocity and quality of data to drive business insights and analytics across the organization
Responsibilities:
- Build and support data products for Canadian use: design, curate, and publish self-service connected datasets that increase re-use and quality of the data available in support of business data and analytic initiatives
- Design and develop data models and patterns for re-usability in collaboration with Data Governance and Information Architecture teams
- Optimize data engineering and preparation activities through automation and leveraging of modern tools and techniques
- Collaborate on a daily basis with the core data team and business while assisting with mentoring other engineers on the team
- Collaborate with business teams to understand data needs, provide recommendation on solution options, and support business initiatives when required
- Inventory critical data elements including lineage, classification, and usage
- Create and maintain a strong collaboration with different groups inside the organization
Must haves:
- Mathematics, Computer Science and/or Data Analytics degree
- 5+ years of applied data engineering experience (Data & Analytics education an asset)
- Expertise and knowledge of SQL, Python, Azure, Databricks, Synapse, ADF and PowerBI
- Strong understanding of data modeling and ability to apply different techniques within a cloud platform
- Excellent communication, presentation, and strong organization skills
- Excitement to share learnings with others across the company, including senior leadership and community of practice participation
- Agile, practical, customer service-oriented mindset
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
Exigences
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