Delivery Lead-Microsoft Fabric Data Engineer
Acuity Analytics (company site, opens in a new tab)6–9 yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.