– Microsoft Fabric Engineer / Microsoft Fabric Data Engineer

Job Title: Microsoft Fabric Engineer / Microsoft Fabric Data Engineer

Experience: 5+ Years

Location: Remote (India)

Employment Type: Contract (Long-Term)

Shift: Night Shift (EST/CST)

Joining: Immediate to 7 Days (Immediate to 15 Days Preferred)

Dual Employment: Not Allowed

Job Summary

We are seeking an experienced Microsoft Fabric Engineer with 5–8 years of experience in designing, developing, and implementing up-to-date data engineering and analytics solutions using Microsoft Fabric. The ideal candidate should possess strong expertise in building scalable data pipelines, Lakehouse architectures, data transformation using PySpark, and enterprise reporting using Power BI. The candidate will work closely with business and technical stakeholders to deliver high-quality data solutions supporting business intelligence and analytics initiatives.

Key Responsibilities

Design, develop, and implement end-to-end data engineering solutions using Microsoft Fabric.

Build and maintain scalable ETL/ELT pipelines using Microsoft Fabric Data Factory.

Develop and optimize Lakehouse and Data Warehouse architectures for enterprise analytics.

Create and maintain PySpark notebooks for data ingestion, transformation, and processing.

Manage enterprise data using OneLake as the centralized storage platform.

Design and develop semantic models, datasets, dashboards, and reports using Power BI.

Integrate data from multiple enterprise sources including:

SQL Server

Azure Data Lake Storage

Azure SQL Database

REST APIs

SAP

Other cloud/on-premises systems

Optimize Microsoft Fabric workloads for performance, scalability, and cost efficiency.

Monitor data pipelines, troubleshoot production issues, and perform root cause analysis.

Implement data governance, security, and access control best practices.





Collaborate with business users, architects, and cross-functional teams to gather requirements and deliver data-driven solutions.

Participate in code reviews, documentation, and deployment activities using Git and Azure DevOps.

Required Skills

5–8 years of experience in Data Engineering and Analytics.

Hands-on experience with Microsoft Fabric.

Strong expertise in

OneLake

Lakehouse

Data Warehouse

Data Factory

Data Engineering

Real-Time Analytics

Strong experience with PySpark and Spark SQL.

Excellent SQL programming and query optimization skills.

Experience in data modeling (Star Schema, Snowflake Schema, Dimensional Modeling).

Hands-on experience in Power BI:

Reports

Dashboards

Semantic Models

DAX

Experience integrating data from multiple enterprise systems.

Experience with Git and Azure DevOps.

Good understanding of data governance, data security, and role-based access control.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication and stakeholder management skills.

Preferred Skills

Experience with Azure Data Services:

Azure Data Lake Storage (ADLS)

Azure SQL Database

Azure Synapse Analytics

Microsoft Certified: Azure Data Engineer Associate (Preferred).

Experience in enterprise data migration projects.

Experience implementing CI/CD pipelines for data engineering solutions.

Strong Python programming skills.

Knowledge of Agile/Scrum development methodologies.

Educational Qualification

Bachelor's degree in computer science, Information Technology, Engineering, or a related discipline.

Mandatory Requirements

Microsoft Fabric hands-on implementation experience.

Strong PySpark and SQL expertise.

Power BI development experience.

Immediate to 15 Days' Notice Period preferred.

Comfortable working in EST/CST Night Shift.

Dual Employment is strictly not allowed.

📌 Microsoft Fabric Engineer / Microsoft Fabric Data Engineer | Remote (India) | Contract (Long-Term) | Night Shift (EST/CST) | 5+ Years
🏢 Unicorn workforce
📍 India