Chennai, Tamil NaduBangalore, Karnataka

Job Summary

Lead the architecture, design, and implementation of enterprise-scale Microsoft Fabric data platforms. Responsible for building and managing end-to-end data solutions using OneLake, Lakehouse, Data Warehouse, Data Factory, and PySpark-based data engineering frameworks. Drive data integration, governance, security, and analytics enablement while supporting scalable, high-performance data platforms for manufacturing and enterprise reporting use cases.

Key Responsibilities

Architect and implement end-to-end Microsoft Fabric solutions across OneLake, Lakehouse, Data Warehouse, and Data Factory.

Design and develop Bronze, Silver, and Gold data layers using Medallion Architecture principles.

Build and optimize scalable data ingestion, transformation, and orchestration pipelines.

Develop ETL/ELT frameworks using Fabric Data Pipelines, Notebooks, and SQL endpoints.

Design enterprise data models and ensure data quality, governance, lineage, and metadata management.

Integrate data from multiple enterprise systems, APIs, manufacturing platforms, and industrial IoT sources.

Implement security controls, monitoring, performance tuning, and operational best practices.

Collaborate with business stakeholders, analytics teams, and reporting teams to deliver trusted data assets.

Manage source control, CI/CD pipelines, and deployment processes using Azure DevOps and Git.

Support enterprise analytics, reporting, and decision-making through scalable data platform solutions.

Skill Requirements

Required Skills

Microsoft Fabric End-to-End Architecture

OneLake

Fabric Data Factory

Fabric Data Pipelines

Fabric Lakehouse

Fabric Data Warehouse





Fabric SQL Endpoint

Fabric Notebooks (PySpark)

Medallion Architecture (Bronze, Silver, Gold)

Data Ingestion and Orchestration

ETL/ELT Framework Development

Delta Lake

Advanced SQL Development and Performance Tuning

Enterprise Data Modeling

Data Governance, Data Lineage, and Metadata Management

API and REST-based Data Integration

Azure DevOps and CI/CD

Git Version Control

Performance Monitoring and Optimization

Preferred Skills

Azure Data Factory (ADF)

Azure Synapse Analytics

Python Programming

Kusto Query Language (KQL)

Power BI Semantic Models

Manufacturing, MES, or Industrial IoT Data Platforms

Real-time Analytics and Event Processing

Other Requirements

8-12+ years of overall Data Engineering and Analytics experience.

Minimum 2+ years of hands-on Microsoft Fabric implementation experience.

Strong experience in enterprise-scale data platform architecture and modernization initiatives.

Experience working with manufacturing, production, or industrial data environments is preferred.

Microsoft Certifications:

DP-700: Microsoft Certified - Fabric Data Engineer Associate (Required/Preferred)

DP-600: Microsoft Certified - Fabric Analytics Engineer Associate (Added Advantage)

Solid stakeholder management, problem-solving, and communication skills.

Ability to lead technical discussions, architecture reviews, and design workshops.

Experience working in Agile delivery environments and cross-functional teams.

#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

📌 Data Science Specialist (Chennai)
🏢 HCLTech
📍 Chennai