Role & responsibilities

We are looking for a highly skilled MidSenior Level Microsoft Fabric Engineer with robust expertise in modern data engineering and analytics platforms. The candidate will be responsible for designing, building, and optimizing scalable data solutions using Microsoft Fabric and Azure ecosystem for enterprise-grade analytics and AI-driven use cases.

Key Skills (Mandatory):
Solid experience in Data Engineering (510 years)
Expertise in Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Real-Time Analytics)
Hands-on experience with Azure Data Factory (ADF), Synapse, and Databricks
Solid proficiency in PySpark, Spark SQL, and Python
Advanced SQL skills for data transformation and performance tuning
Experience with ETL/ELT design patterns and large-scale data pipelines
Experience working with structured and unstructured data within Data Lakes
Familiarity with CI/CD pipelines and deployment automation (Azure DevOps/Git)

Key Responsibilities:
Design and develop scalable data pipelines using Microsoft Fabric and Azure services




Implement data ingestion, transformation, and orchestration workflows
Build and manage Lakehouse architecture and data models in OneLake
Optimize data processing using PySpark and distributed computing techniques
Ensure data quality, governance, and security across pipelines
Collaborate with business teams, architects, and analysts to gather requirements
Support real-time and batch data processing use cases
Implement best practices for performance tuning and cost optimization
Mentor junior engineers and contribute to capability building

Preferred candidate profile
Experience with Generative AI and integration with Fabric data pipelines
Knowledge of Power BI integration with Fabric for advanced analytics
Experience with REST/API integrations and streaming data platforms
Exposure to domain-specific data models (Manufacturing, Supply Chain, Finance etc.)
Certifications in Microsoft

📌 Sr Microsoft Fabric Engineer Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru