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Popular data-engineer title but specialized Microsoft Fabric skills in Bangalore yield medium competition.
Microsoft Fabric and Azure focus makes the role moderately transferable but platform-specific.
Mandatory 6–9 years plus specific Microsoft Fabric, PySpark, Azure, and data platform skills make filters strict.
Design, develop, and maintain scalable data pipelines and Lakehouse architectures using Microsoft Fabric and Azure services.
Optimize and manage ETL/ELT frameworks, data warehouses, data models, and workflows supporting reporting, analytics, and AI initiatives.
Ensure data quality, governance, security, and operational excellence while collaborating with stakeholders to deliver enterprise-grade data solutions.
6-9 years of experience in data engineering or related roles.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
Strong expertise in Microsoft Fabric (Lakehouse, Data Factory, Warehouse, OneLake), SQL, Python, PySpark, and Azure Data Platform.
Experience with ETL/ELT development, data warehousing, data modeling, Power BI, and CI/CD practices in Agile environments.
Experienced in designing cloud-native, enterprise-scale modern data platforms using Microsoft Fabric and Azure ecosystems.
Capable of independently owning data pipeline development and optimization with a focus on data quality, governance, scalability, and automation.
Skilled in collaborating with cross-functional teams and translating complex business requirements into scalable technical data solutions.