Back
Medium — Tier-2 employer, metro location, common data-engineer role but Fabric specialization reduces applicant density.
Medium — core data engineering skills are transferable, but Microsoft Fabric/Azure specialization increases domain specificity.
High — explicit 7+ years and mandatory Microsoft Fabric, Azure, ETL, and T-SQL skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain scalable, reliable, and secure data integration and analytics platforms using Microsoft Fabric, Azure Data Factory, SQL Server, and related technologies.
Develop and optimize ETL/ELT data pipelines, data warehouses, and lakehouse architectures for analytics and operational use cases.
Support production operations including monitoring, root-cause analysis, CI/CD, and contribute to AI, machine learning, and advanced analytics initiatives.
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field, or equivalent experience.
7+ years of experience in data engineering, data warehousing, ETL/ELT development, or related disciplines.
Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory, OneLake), Azure Data Factory, SQL Server, and advanced T-SQL.
Experience with Azure cloud-based data engineering solutions and Agile delivery practices.
Experienced in designing enterprise-scale data warehouse and analytics platforms using modern data engineering frameworks.
Familiar with Specification-Driven Development (SDD) methodologies and disciplined engineering practices.
Capable of leading AI-enabled data engineering efforts and modernizing legacy ETL platforms into Microsoft Fabric and Azure environments.