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Data engineer to perform data modeling, ETL and distributed processing for our mining client

Toronto, ON
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Emploi Contrat

  • Date d'entrée en fonction : 1 poste à combler dès que possible

6 months to start - Remote - when needed to go in person on occasion for Workshops

1 round of interview


Scope: Our mining client is looking to set up their data and analytics team within Canada. They are looking to take a lead on data platforms and foundations and create unique capabilities for our client.


Must haves:


  • 5+ years of experience as a Data Engineer working on Distributed processing (Spark, Kafka, Flink)
  • Experience working on Cloud-native tools (ADF, AWS Glue, GCP Dataflow) with Strong CI/CD & IaC (Terraform, GitHub Actions, Azure DevOps)
  • Experience with Data modeling (dbt, dimensional modeling) and Data quality tools (Great Expectations, Monte Carlo)
  • Strong SQL + Python for ETL/ELT
  • Mining industry experience highly preferred
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