We are looking forward to hire Microsoft Fabric Professionals in the following areas :

:

Experience: 6+ years

We are looking for a robust Microsoft Fabric Data Engineer / Power BI Developer with 6+ years of hands-on experience designing and delivering scalable data engineering, analytics, and enterprise reporting solutions. The ideal candidate will bring strong expertise in Microsoft Fabric, Power BI, SQL, data modeling, ETL/ELT pipelines, Lakehouse/Warehouse architecture, semantic models, and reporting-ready datasets . Experience with Azure data services, SAP data, and business stakeholder collaboration will be an added advantage.

Required Skills
- 6+ years of overall experience in data engineering, business intelligence, analytics, or enterprise reporting.
- Strong hands-on experience with Microsoft Fabric , including Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, Semantic Models, and Power BI.
- Experience with medallion architecture, Lakehouse patterns, data warehouse design, dimensional modeling, and reporting-ready datasets.




- Hands-on experience building and maintaining ETL/ELT pipelines , data ingestion workflows, transformation logic, and orchestration processes.
- Strong SQL skills , including optimized query writing, complex data analysis, and performance tuning support.
- Ability to translate business requirements into scalable data pipelines, semantic models, and analytical datasets.
- Experience with source-to-target mapping, data validation, testing support, defect resolution, production support, and technical documentation.
- Working knowledge of Azure data services such as Azure Data Factory, Azure Data Lake, Azure Synapse, or Databricks is preferred.
- Strong communication skills to collaborate with business users, technical teams, QA teams, and cross-functional stakeholders.
- Understanding of SAP data, business processes, and enterprise reporting environments is an advantage.

Desired Skills
- Exposure to HANA modeling,

📌 Data Engineer (Pune)
🏢 Yash Technologies
📍 Pune