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MS Fabric

Job

Vaarida Technologies llc

Minneapolis, MN (In Person)

Full-Time

Posted 3 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/4/2026

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Job Description

Role
  • MS Fabric Location
  • Minneapolis, MN Job Type
  • Full Time Required Skills Responsible for understanding the requirements and perform data analysis.
Responsible for setup of Microsoft fabric and its components Building secure, scalable solutions across the Microsoft Fabric platform. Create and manage Lakehouse. Implement Data Factory processes for data ingestion, scalable ETL and data integration. Design, implement and manage comprehensive warehousing solutions for analytics using fabric Creating and scheduling data pipelines using Azure data factory Building robust data solutions using Microsoft data engineering tools like Notebook, Lakehouse and spark application. Build and automate deployment pipelines using CICD tools for the release of fabric content from lower to higher environments. Set and use Git as a repository and versioning of fabric components Create and manage Power BI reports and semantic models Write and optimize complex SQL queries to extract and analyze data, ensuring data processing and accurate reporting. Work closely with customers, business analysts and technology & project team to understand business requirements, drive the analysis and design of quality technical solutions that are aligned with business and technology strategies and comply with the organization's architectural standards. Understand and follow-up through change management procedures to implement project deliverables. Coordinating with support groups to get the issues resolved in a quick turnaround time. 3+ years of experience working in Microsoft Fabric. Expertise in working with OneLake, Lakehouse, Warehouse and Notebook Strong understanding of Power BI reports and semantic model using Fabric Proven record of building ETL and data solutions using Azure data factory. Strong understanding of data warehousing concepts and ETL processes. Hand on experience of building data warehouses in fabric. Strong skills in Python and PySpark Practical experience of implementing spark in fabric, scheduling spark jobs, writing spark SQL queries.