Data Engineer (Microsoft Fabric & Azure)

New
Q
QuisitiveCloud Services
Can be located in the contiguous United States, Eastern or Central time zones preferredFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years
Required Skills
PythonSQLMicrosoft AzureScalaAzure DevOps

Requirements

  • 3+ years of hands-on experience in data engineering with Microsoft Azure (ingestion, ETL/ELT, big data).
  • Proficiency in Azure data services: Azure Databricks, Azure Data Factory, Azure Synapse Analytics.
  • Experience with SQL and NoSQL technologies.
  • Strong programming skills in Python or Scala for Spark jobs.
  • Experience managing code and building deployment pipelines using Azure DevOps (Repos & Pipelines).
  • Practical experience with infrastructure-as-code (Bicep, ARM templates, or Terraform).
  • Familiarity with Microsoft Fabric and Azure fundamentals (cloud networking, security, RBAC, monitoring).
  • Effective communication and problem-solving skills.

Responsibilities

  • Design and develop end-to-end data ingestion and transformation pipelines using Azure Data Factory and Synapse Pipelines.
  • Develop and optimize large-scale data processing jobs using Azure Databricks, PySpark, and Scala.
  • Automate infrastructure provisioning and deployments using Infrastructure-as-Code (Bicep) and Azure DevOps CI/CD.
  • Support day-to-day operations of the Azure Modern Data Platform, including monitoring stability, networking, and data security.
  • Collaborate with architects, developers, and stakeholders to ensure alignment with Azure best practices.
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