Microsoft Fabric Data Engineer
GlobalchannelmanagementNewark, New Jersey, United States
Posted January 5, 2026
60 - 64 USD
Full Time
About the Company
Global Channel Management is a technology‑driven staffing firm that delivers end‑to‑end recruiting, staff augmentation, and service‑management solutions for diverse industries. Leveraging a team of seasoned account managers and recruiters with more than a decade of experience, the company helps clients reduce training and labor costs while securing top talent to meet fluctuating skill requirements. Its service‑management model focuses on identifying expertise gaps, adapting to changing staffing needs, and delivering customized solutions within specified timelines. By combining employment, sourcing, consulting, and project‑management expertise across software, hardware, and technology domains, Global Channel Management uniquely aligns talent acquisition with operational efficiency and cost optimization.
Job Description
Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure with expertise in Azure services, software development, and database management.
Requirements
- 5+ years of experience in building data and analytics platform focused on Azure data and analytics solutions.
- Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
- Proficiency in software development and scripting languages, ETL tools, database management, data modeling, and data warehousing concepts.
- Excellent problem-solving and troubleshooting abilities, attention to detail, and commitment to data accuracy.
- Experience with cloud-based data migration, strong analytical and problem-solving skills, and ability to conduct root cause analysis.
- Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.
- 3+ years of programming experience in Python/Pyspark.
- 7+ years of experience in Microsoft Azure.
- Knowledge of Jira, Confluence, SAFe development methodology & DevOps.
