





Tier-1 brand, mid-level data role in Bangalore with common skills creates high candidate density.
Microsoft Fabric/Azure specialization reduces cross-industry portability to a medium level.
Mandatory Microsoft Fabric, advanced SQL/Power BI skills and explicit 4 years make filters stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain end-to-end data pipelines using Microsoft Fabric components (Data Factory, Lakehouse, Warehouse), PySpark, and SQL in Azure environments.
Develop and optimize Lakehouse architectures and advanced Power BI semantic models and reports to support business intelligence and advanced analytics initiatives.
Guide and mentor junior team members while collaborating with stakeholders to ensure data quality, governance, and security compliance.
Bachelor's Degree.
Minimum 4 years of experience in data engineering.
Mandatory skills: Microsoft Fabric (Data Factory, Lakehouse, Warehouse), advanced SQL, Power BI (DAX, modeling, performance tuning).
Oral and written proficiency in English.
Experienced in designing scalable data solutions independently and contributing to architecture discussions within Microsoft Fabric/Azure environments.
Certified or in strong alignment with Microsoft certifications such as Azure Data Engineer Associate and Power BI Data Analyst Associate.
Has experience in mentoring others and improving data workflows with understanding of DevOps practices and Lakehouse architectures.