Fabric Data Engineer

Overview

W issen Technology is Hiring for Fabric Data Engineer

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary: Wissen Technology is hiring an experienced Fabric Data Engineer with strong expertise in Microsoft Fabric and Power BI to design and build scalable data pipelines, Lakehouse architectures, and enterprise analytics solutions on the Azure cloud.

Experience: 5- 10 years

Location: Pune/ Bengaluru

Mode of Work: Full time

Key Responsibilities:

• Design & build data pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks).
  
• Develop and optimize Lakehouse / Data Lake / Delta Lake architectures.
  
• Build ETL/ELT workflows using Fabric, Azure Data Factory, or Synapse.
  
• Create and optimize Power BI datasets, data models, and DAX calculations.
  
• Implement semantic models, incremental refresh, and Direct Lake/DirectQuery.
  
• Work with Azure services: ADLS Gen2, Azure SQL, Synapse, Event Hub, Functions, Databricks.
  
• Build dimensional models (Star/Snowflake) and support BI teams.
  
• Ensure data governance & security using Purview, RBAC, and AAD.
  
  

Requirements:

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Dataflows, Notebooks).
  
• Expertise in Power BI (DAX, modeling, Dataflows, optimized datasets).
  
• Deep knowledge of Azure Data Engineering stack (ADF, ADLS, Synapse, SQL).
  
• Strong SQL, Python/PySpark skills.
  
• Experience in Delta Lake, Medallion architecture, and data quality frameworks.
  
  

Good To Have Sk ills:

• Azure Certifications (DP-203, PL-300, Fabric Analytics Engineer).
  
• Experience with CI/CD (Azure DevOps/GitHub).
  
• Databricks experience (preferred).
  
  

Wissen Sites:

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology

Wissen Leadership: https://www.wissen.com/company/leadership-team/

Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
Wissen Thought Leadership: https://www.wissen.com/articles/