Senior MLOps Data Engineer with GCP, Python & SQL to build data pipelines in the enterprise data lake and contribute to the design of data flow
S.i. Systèmes
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
-
Emploi Contrat
- Publié le 26 mars 2025
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Our client is Canada's largest retailer. They are looking for a Senior MLOps Data Engineer with GCP, Python & SQL to build data pipelines in the enterprise data lake and contribute to the design of data flow.
Duration: Until Dec 31st initially
Location: Brampton - 3 days/week
Project:
Build data pipelines in the enterprise data lake Cerebro which will now cover more use cases. Cerebro is expanding.
Our client is building its own ML Zone - ML Ops platform within data lake platform. Deploy ML solutions and analytics solutions that are more complex then a pipeline.
Must Have Skills:
- MLOps/Data Engineering - Data Warehouse and Data Lake Solutions
- Google Cloud Platform (GCP), AWS or Azure
- Python, SQL
- Data Modelling - vet on the following; data modeling techniques: hierarchical, network, relational, object-oriented, entity-relationship, dimensional, and graph.
Exigences
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