Fabric Data Engineer

Mployee.me; Pune District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Mployee.me is seeking a Fabric Data Engineer in Pune for designing, building, and maintaining enterprise-scale data platforms using Microsoft Fabric and Azure. You will implement scalable data pipelines, governance, and analytics across Lakehouse and Data Warehouse environments.

Ideal candidates have 4–7 years of data engineering experience, hands-on Fabric and Azure Data Services expertise, and strong collaboration with stakeholders to drive data modernization initiatives.

Qualifications

• 4 to 8 years of experience in Data Engineering, Data Warehousing, or related fields.
• Hands-on experience with Microsoft Fabric and Azure Data Services.

Responsibilities

• Develop end-to-end data solutions using Microsoft Fabric and Azure.
• Build scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions.
• Migrate legacy systems to Azure Fabric as part of data modernization.
• Design data models, integration patterns, and governance frameworks for data quality and security.
• Collaborate with business teams to gather requirements and translate them into technical solutions.
• Optimize data workflows for performance, scalability, and reliability.
• Support data governance and security initiatives.
• Review code and architecture to ensure best practices.
• Deliver projects within timelines and quality standards.

Skills

Data engineering

Data modeling

Stakeholder communication

Performance optimization

Data governance

Tools

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Power BI

SQL

ETL/ELT design

Databricks

Spark

Python

Job description

Fabric Data Engineer

Location: Pune / Nagpur

Experience: 4–7 Years

About the Role: We are seeking a skilled Fabric Data Engineer to design, develop, and maintain enterprise-scale data solutions using Microsoft Fabric and Azure Data Services. The ideal candidate will have a solid background in cloud data engineering, data modeling, and analytics, with a focus on implementing scalable and efficient data platforms. This role involves collaborating with stakeholders, supporting data modernization initiatives, and ensuring data governance and security.

Responsibilities:

• Develop and implement end-to-end data solutions leveraging Microsoft Fabric and Azure technologies.
• Build scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions.
• Participate in data modernization and migration projects from legacy systems to Azure Fabric.
• Design data models, integration patterns, and governance frameworks to ensure data quality and security.
• Collaborate with business teams to gather requirements and translate them into technical solutions.
• Optimize data workflows for performance, scalability, and reliability.
• Support data governance, data security, and compliance initiatives.
• Assist in reviewing code and architecture designs to ensure best practices.
• Work closely with project teams to deliver solutions within timelines and quality standards.

Required Skills

• 4 to 8 years of experience in Data Engineering, Data Warehousing, or related fields.
• Hands-on experience with Microsoft Fabric and Azure Data Services.

Proficiency in:

• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Power BI
• SQL and Data Modeling
• ETL/ELT Design and Development
• Understanding of Lakehouse architecture and modern data ecosystems.
• Experience in performance tuning, data quality, and data governance.
• Good stakeholder communication and collaboration skills.

Preferred Skills

• Experience with Databricks, Spark, and Python.
• Knowledge of AI/ML and advanced analytics.
• Familiarity with Agile methodologies.
• Azure and Microsoft Fabric certifications are a plus.
• Experience working with global teams and clients.

Why Join Us?

• Opportunity to work on enterprise-scale data engineering projects.
• Collaborative work environment with excellent growth opportunities.