Assistant Manager - Microsoft Fabric Data Engineering

Microsoft Fabric Developer - Assistant Manager

Job Title: Microsoft Fabric Assistant Manager

Experience: 6 – 9 YOE

Job Summary:
We are looking for an experienced Data Engineer skilled in building modern analytics and data solutions using Microsoft technologies. The ideal candidate must have strong hands‑on experience with Power BI, SQL, Python, Azure Data Factory (ADF), and Microsoft Fabric, and must have experience in Microsoft Fabric projects and should hold a Fabric certification (DP‑600 or DP‑700).

Key Responsibilities:

• Develop and maintain scalable data pipelines using ADF and Microsoft Fabric. 

• Build data models, semantic models, and datasets to support analytics and reporting. 

• Create dashboards and reports using Power BI. 

• Implement data transformations using SQL and Python. 

• Ensure data quality, integrity, and performance across workflows. 

• Collaborate with business and technical teams to deliver end-to-end data solutions.

 

Required Skills:

• Strong experience in Azure-based data engineering. 
• Proficiency in Power BI, SQL, Python, ADF, and Fabric. 
• Solid understanding of ETL/ELT, data modeling, and modern data architecture. 
• Experience building Lakehouse/warehouse solutions. 
• Mandatory Microsoft Fabric certification (DP‑600 or DP‑700). 
• Ability to work independently on complex data tasks and handle team.

Job Title: Microsoft Fabric Assistant Manager

Experience: 6 – 9 YOE

Job Summary:
We are looking for an experienced Data Engineer skilled in building modern analytics and data solutions using Microsoft technologies. The ideal candidate must have strong hands‑on experience with Power BI, SQL, Python, Azure Data Factory (ADF), and Microsoft Fabric, and must have experience in Microsoft Fabric projects and should hold a Fabric certification (DP‑600 or DP‑700).

Key Responsibilities:

• Develop and maintain scalable data pipelines using ADF and Microsoft Fabric. 

• Build data models, semantic models, and datasets to support analytics and reporting. 

• Create dashboards and reports using Power BI. 

• Implement data transformations using SQL and Python. 

• Ensure data quality, integrity, and performance across workflows. 

• Collaborate with business and technical teams to deliver end-to-end data solutions.

 

Required Skills:

• Strong experience in Azure-based data engineering. 
• Proficiency in Power BI, SQL, Python, ADF, and Fabric. 
• Solid understanding of ETL/ELT, data modeling, and modern data architecture. 
• Experience building Lakehouse/warehouse solutions. 
• Mandatory Microsoft Fabric certification (DP‑600 or DP‑700). 
• Ability to work independently on complex data tasks and handle team.

Job Title: Microsoft Fabric Assistant Manager

Experience: 6 – 9 YOE

Job Summary:
We are looking for an experienced Data Engineer skilled in building modern analytics and data solutions using Microsoft technologies. The ideal candidate must have strong hands‑on experience with Power BI, SQL, Python, Azure Data Factory (ADF), and Microsoft Fabric, and must have experience in Microsoft Fabric projects and should hold a Fabric certification (DP‑600 or DP‑700).

Key Responsibilities:

• Develop and maintain scalable data pipelines using ADF and Microsoft Fabric. 

• Build data models, semantic models, and datasets to support analytics and reporting. 

• Create dashboards and reports using Power BI. 

• Implement data transformations using SQL and Python. 

• Ensure data quality, integrity, and performance across workflows. 

• Collaborate with business and technical teams to deliver end-to-end data solutions.

 

Required Skills:

• Strong experience in Azure-based data engineering. 
• Proficiency in Power BI, SQL, Python, ADF, and Fabric. 
• Solid understanding of ETL/ELT, data modeling, and modern data architecture. 
• Experience building Lakehouse/warehouse solutions. 
• Mandatory Microsoft Fabric certification (DP‑600 or DP‑700). 
• Ability to work independently on complex data tasks and handle team.

Experience Level

Mid Level