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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

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Contract job

  • Starting date : 1 position to fill as soon as possible

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.
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Requirements

Level of education

undetermined

Work experience (years)

undetermined

Written languages

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Spoken languages

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