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Tier-1 brand plus mid-level data role in Bangalore with common skills creates high competition.
Core data engineering skills transferable, but Microsoft Fabric/Azure specialization increases industry specificity.
Explicit 4-year requirement plus mandatory Microsoft Fabric, Power BI, and SQL skills make shortlisting highly strict.
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Design, build, and maintain end-to-end data pipelines using Microsoft Fabric components, PySpark, and SQL to enable efficient data processing and business intelligence.
Develop and optimize Lakehouse architectures and advanced Power BI semantic models and reports to support data analytics initiatives.
Mentor junior team members and collaborate with stakeholders across functions to ensure high-quality data solutions and compliance with data governance standards.
Bachelor's Degree is mandatory.
At least 4 years of experience in data engineering.
Proficiency in Microsoft Fabric (Data Factory, Lakehouse, Warehouse), Power BI (DAX, modeling, performance tuning), and advanced SQL is required.
Oral and written proficiency in English is required.
Experience working independently on complex data engineering modules with contributions to architecture discussions in Microsoft Azure environments.
Certification or strong familiarity with Microsoft Azure Data Engineer Associate and Power BI Data Analyst Associate certifications is preferred.
Proven ability to guide junior team members, engage with stakeholders, and leverage DevOps practices and modern data architectures like Lakehouse/Delta Lake.