We are seeking an experienced and driven Data Engineer with 5+ years of hands-on expertise to design, build, and scale our next-generation data infrastructure. In this role, you will play a critical part in architecting robust data pipelines, optimizing complex transformations, and maximizing the value of our cloud data assets using contemporary Microsoft platforms.

Key Responsibilities
Data Pipeline Engineering: Design, develop, maintain, and optimize scalable, reliable, and secure end-to-end data pipelines using Azure data services and Microsoft Fabric.
Up-to-date Data Architecture: Work extensively with core Microsoft Fabric components, including Fabric Data Factory, Lakehouse, Warehouse, and other advanced data engineering capabilities.
Data Transformation &
Optimization:

Write, debug, and fine-tune complex SQL queries, stored procedures,



views, and intricate data transformation logic to ensure high performance and data integrity.
Collaboration &
Scale:

Partner closely with analytics, product, and engineering teams to understand data requirements and deliver reliable data solutions that power business intelligence and decision-making.

Required Key Skills &
Tech Stack
Core Skills: Microsoft Fabric Data Factory, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), PySpark, Advanced SQL.
Data Concepts: ETL/ELT pipeline development, Data Lakehouse &
Warehouse architectures, performance tuning, and complex data transformation.

📌 Data Engineer Hyderabad
🏢 Rail Infotech India
📍 Hyderabad