Senior Azure Data Engineer
ARC'TERYX
Design Azure data architectures and optimize PySpark systems as a Senior Data Engineer with ARC’TERYX in North Vancouver or remotely.This senior position supports the Supply Chain Analytics Squad and its data-informed decision-making. You will build scalable pipelines, translate stakeholder requirements, and mentor engineers. The work includes Databricks, Python, SQL, data lakes, and governance.Key Responsibilities:
Design batch, streaming, and lakehouse architectures using Azure DatabricksLead migrations from legacy systems to cloud-native platformsOptimize ETL/ELT workflows for structured and semi-structured dataEstablish data quality, monitoring, and governance frameworksMentor engineers through reviews, workshops, and guidanceRequirements:
Five to eight years of data engineering experienceAdvanced SQL and Python skills with large-scale ETL/ELT experienceExpertise with Azure, Databricks, PySpark, and Cosmos DBKnowledge of CI/CD, data mesh, and dimensional modelingEligibility to work in CanadaBring Azure architecture, PySpark, governance, and technical leadership to ARC’TERYX supply chain analytics initiatives.
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Design batch, streaming, and lakehouse architectures using Azure DatabricksLead migrations from legacy systems to cloud-native platformsOptimize ETL/ELT workflows for structured and semi-structured dataEstablish data quality, monitoring, and governance frameworksMentor engineers through reviews, workshops, and guidanceRequirements:
Five to eight years of data engineering experienceAdvanced SQL and Python skills with large-scale ETL/ELT experienceExpertise with Azure, Databricks, PySpark, and Cosmos DBKnowledge of CI/CD, data mesh, and dimensional modelingEligibility to work in CanadaBring Azure architecture, PySpark, governance, and technical leadership to ARC’TERYX supply chain analytics initiatives.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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