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Lead Data Engineer Ms Fabric Mumbai

Valuemomentum Verified employer

Actively hiring · Posted 13d ago · JEV2610C0F7ABBC45

SalarySalary not disclosed
Experience10–14 yrs
LocationMumbai City
Work modeHybrid · Full time
Openings1
IndustryIT Services & Consulting

Job description

Position:

Microsoft Fabric Core Lead Engineer

Experience: 10+ Years

Location:

Hyderabad, Pune, Bengaluru, Coimbatore

Notice Period:

Immediate Joiners

Roles & Responsibilities

Position Summary

The Microsoft Fabric Core Lead Engineer is responsible for leading the design, development, implementation, and support of enterprise-scale data and analytics solutions using Microsoft Fabric. The role provides technical leadership, drives architecture decisions, mentors engineering teams, and ensures successful delivery of scalable, secure, and high-performing data platforms.

Roles & Responsibilities

Technical Leadership

Lead the end-to-end implementation of Microsoft Fabric solutions across enterprise programs.

Define technical architecture, engineering standards, and best practices for Microsoft Fabric adoption.

Provide technical leadership to a team of data engineers and developers.

Review solution designs, code, and deployment strategies to ensure quality and scalability.

Microsoft Fabric Architecture

Design and implement enterprise data platforms using Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Data Engineering, and Power BI.

Architect scalable, cloud-native data solutions supporting analytics, AI, and business intelligence workloads.

Establish reusable design patterns and reference architectures.

Data Engineering & Integration

Design and develop robust ETL/ELT pipelines using Microsoft Fabric Data Factory and Spark Notebooks.

Integrate structured, semi-structured, and unstructured data from cloud and on-premises systems.

Implement data transformation, cleansing, validation, and orchestration processes.

Optimize data ingestion strategies for performance and reliability.

Data Modeling & Analytics

Design dimensional models, Lakehouse architectures, and enterprise data warehouses.

Develop semantic models and datasets for Power BI reporting and self-service analytics.

Collaborate with business teams to tr .

Key skills

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