Data Science Specialist
India
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Job Description
Data Science Specialist
| 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)
  • Strong 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.
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.