About The Position

We are seeking an Azure Data Engineer with our client in Orlando, FL for an onsite role. This role focuses on developing and maintaining data pipelines within a Microsoft Fabric lakehouse environment, optimizing Spark notebooks, managing lakehouse schemas and data organization, and integrating data from multiple source systems into a Customer 360 platform. The engineer will collaborate with cross-functional teams and ensure data quality, security, and access controls.

Requirements

  • Microsoft Fabric experience (primary platform)
  • Lakehouse architecture and implementation
  • Spark Notebooks development
  • Schema design and management
  • File and folder structure management
  • Access permissions and security
  • Spark or PySpark programming experience (essential)
  • Data pipeline development and orchestration
  • Working with multi-source data integration (experience with 10+ source systems preferred)
  • Understanding of lakehouse file structures and data organization
  • Data engineering best practices for large-scale data platforms

Nice To Haves

  • Understanding of customer interaction data and dimensional modeling concepts
  • Experience with customer data platforms or Customer 360 initiatives

Responsibilities

  • Develop and maintain data pipelines in a Microsoft Fabric lakehouse environment
  • Write and optimize Spark notebooks for data processing and transformation
  • Manage lakehouse schemas, file structures, and data organization
  • Integrate data from multiple source systems into the Customer 360 platform
  • Collaborate with cross-functional teams across HR, enterprise, and operations domains
  • Ensure data quality, security, and access controls are properly implemented
  • Support ongoing technical operations for the Customer 360 initiative
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