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Tier-1 brand, mid-level data engineer title, metro location, and broad Fabric/PowerBI skillset increase competition.
Core data engineering skills are transferable, but Microsoft Fabric and Power BI specialization raises medium sensitivity.
Explicit 4-year requirement plus mandatory Microsoft Fabric, Power BI, and advanced SQL make shortlisting strict.
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Design and build scalable end-to-end data pipelines and Lakehouse architectures using Microsoft Fabric components (Data Factory, Lakehouse, Warehouse).
Develop advanced Power BI semantic models, reports, and optimize SQL and PySpark transformations to support business intelligence and analytics.
Mentor junior team members and collaborate with stakeholders to deliver high-quality data solutions in Microsoft Azure environments.
Bachelor's Degree required.
Minimum 4 years of experience in data engineering.
Proficiency in Microsoft Fabric (Data Factory, Lakehouse, Warehouse), advanced SQL, and Power BI (DAX, modeling, performance tuning) mandatory.
Oral and written proficiency in English required.
Experienced in working independently on data engineering modules and contributing to architecture discussions within a Microsoft Azure environment.
Possesses or is pursuing Microsoft certifications such as Azure Data Engineer Associate and Power BI Data Analyst Associate.
Familiar with DevOps practices, Delta Lake or Lakehouse architecture, and capable of mentoring others while maintaining professional standards.