Microsoft Fabric Data Engineer

Mopid; Maharashtra; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Mopid in Pune is seeking a skilled Microsoft Fabric Data Engineer to design, build, and maintain scalable data solutions. The role focuses on data architecture, ETL processes, and modern cloud-based data platforms.

You will develop and manage data pipelines using Fabric, OneLake, and Delta Lake, implement Lakehouse architectures, and collaborate with BI teams on analytics and platform migrations. A strong background in Spark SQL and SQL is required.

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• Hands-on experience with lakehouse or modern data platforms is a plus.
• Strong SQL skills and data engineering fundamentals.

Responsibilities

• Develop and manage data pipelines using Microsoft Fabric and Azure Data Factory
• Implement Lakehouse architecture using OneLake and Delta Lake
• Perform data transformations using PySpark or Spark SQL
• Orchestrate, monitor, and optimize data pipelines for performance and reliability
• Collaborate with BI teams to support analytics and platform migration initiatives

Skills

SQL

Education

Bachelor’s degree in Computer Science, IT, or related field

Tools

Microsoft Fabric

OneLake

Delta Lake

Azure Data Factory

PySpark

Spark SQL

Job description

Job Title: Microsoft Fabric Data Engineer
Location: Pune
Experience: 5–10 years of experience in Data Engineering or related roles.

Job Summary: We are looking for a skilled Microsoft Fabric Data Engineer to design, build, and maintain scalable data solutions. The ideal candidate will have strong expertise in data architecture, ETL processes, and modern cloud-based data platforms.

Key Responsibilities

• Develop and manage data pipelines using Microsoft Fabric and Azure Data Factory
• Implement Lakehouse architecture using OneLake and Delta Lake
• Perform data transformations using PySpark or Spark SQL
• Orchestrate, monitor, and optimize data pipelines for performance and reliability
• Collaborate with BI teams to support analytics and platform migration initiatives

Required Skills & Experience

• Hands‑on experience with Microsoft Fabric, OneLake, and Delta Lake
• Strong expertise in Azure Data Factory
• Proficiency in PySpark or Spark SQL
• Experience in large‑scale data processing and pipeline orchestration
• Strong SQL skills

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field
• Experience with lakehouse or modern data platforms is a plus