Microsoft Fabric Data Engineer
Role details
Job location
Tech stack
Job description
We are seeking a hands-on Data Engineer to build and scale an enterprise Azure & Microsoft Fabric analytics platform supporting ERP integration and enterprise reporting initiatives., Build and maintain scalable ETL/ELT pipelines using Azure and Microsoft Fabric Integrate data from systems including SAP, Epicor, Salesforce, Azure SQL, and other enterprise applications Develop and optimize data lake/lakehouse/data warehouse solutions Create reusable data models, semantic layers, and KPI reporting structures Support governed Power BI reporting environments Implement data quality, security, lineage, and monitoring processes
Requirements
2+ years of experience in Data Engineering Strong experience with: Microsoft Fabric Azure Data Factory (ADF) Azure SQL Azure Data Lake / ADLS Synapse Analytics
Strong SQL skills Experience with Python, PySpark, Spark SQL Hands-on experience building ETL/ELT pipelines Experience with Power BI semantic models Knowledge of dimensional modeling, lakehouse, and data warehouse concepts
Preferred Experience integrating ERP/enterprise systems such as SAP, Epicor, JobBOSS, or Salesforce Experience with data governance, RLS/security, and enterprise analytics environments
Education Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field preferred.