Microsoft Fabric Data Engineer

As a Microsoft Fabric Data Engineer, you will design, build, and maintain scalable data pipelines and analytics solutions using Microsoft Fabric and Azure Data Services. You will collaborate with cross-functional teams to deliver high-quality, secure, and efficient data solutions that drive business intelligence and advanced analytics initiatives.

Requirements

  • Design, develop, and maintain scalable, reliable, and efficient data pipelines using Microsoft Fabric and Azure Data Services.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insights.
  • Transforming raw data into useful data using various transformation techniques and pipelines
  • Data modelling for large scale enterprise
  • Create reports and visualize and interpret data
  • Work with AI data streams
  • Implement data ingestion, transformation, and integration workflows following best practices for security and performance.
  • Monitor, troubleshoot, and optimize data pipelines and analytics solutions to ensure high availability and accuracy.
  • Ensure data solutions comply with organizational data governance policies and industry regulations.
  • Document data architectures, processes, and workflows for operational transparency and knowledge sharing.
  • Stay current with Microsoft Fabric and Azure ecosystem updates and recommend improvements or new technologies.
  • Support the deployment and maintenance of business intelligence and reporting platforms.

Benefits

  • Generous Paid Time Off
  • 401k Matching
  • Retirement Plan

Tagged as:

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

  • Applications have closed

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!