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Data Engineer - Fabric

Skills
Computer ScienceWarehouse OperationsApache SparkCapacity UtilizationConsumer TextilesContinuous IntegrationData Analytics
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor's degree in computer science information technology or related field or equivalent experience
  • Minimum of three years of experience in data engineering ETL development and data warehousing
  • Highly experienced with Microsoft Fabric including OneLake Lakehouses Data Pipelines Dataflows Gen2 and/or Notebooks
  • Solid understanding of Medallion Architecture Delta Lake concepts data modeling and modern analytics patterns
  • Experience with data governance data quality and data security frameworks and standards
  • Experience monitoring and optimizing Microsoft Fabric capacity utilization workload performance and resource consumption is preferred
  • Solid grasp of CI/CD including source control deployment pipelines and release management practices
  • Experience with Git-based source control and collaborative development workflows
  • Expertise in integrating Fabric solutions with Power BI Azure services and external data sources
  • Experience with Apache Spark and PySpark within Microsoft Fabric
  • Excellent verbal and written communication skills presentation problem-solving skills and attention to detail
  • Self-starter with strong organizational and time management skills
  • Ability to guide and support others through collaboration
  • Demonstrated ability to use discretion make sound decisions and maintain confidentiality
  • Willingness and ability to work flexible hours
  • Proficiency in MS Office and modern communication tools for virtual teams

Nice to have

  • Versatile
  • Fast-paced
  • Problem solver
  • Innovative
  • Growth mindset
  • Collaborative

Day to day

  • Collaborates with cross-functional teams to gather analytical requirements and translate them into effective Microsoft Fabric data solutions.
  • Designs builds and maintains end-to-end data ingestion and transformation workflows using OneLake Lakehouses Data Pipelines Dataflows Gen2 and Notebooks.
  • Optimizes data quality governance monitoring and support to ensure reliable scalable and actionable reporting datasets.

Hiring process

  • Submit application on careers page
  • Talent acquisition team reviews application
  • If shortlisted, candidate is contacted for next steps