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Tier-1 brand, mid-level experience and metro location create high candidate competition despite Fabric specificity.
Microsoft Fabric, Power BI and Azure focus makes cross-industry transfers moderately constrained.
Mandatory 4 years plus required Microsoft Fabric, Power BI and advanced SQL makes filters stringent.
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Design, develop, and maintain scalable data pipelines and Lakehouse architectures using Microsoft Fabric, PySpark, and SQL.
Build advanced Power BI semantic models and reports to support business intelligence initiatives.
Guide and mentor junior team members while collaborating with stakeholders to ensure data quality, governance, and compliance.
Bachelor's Degree required.
Minimum 4 years of experience in data engineering.
Mandatory skills: Microsoft Fabric (Data Factory, Lakehouse, Warehouse), Power BI (DAX, modeling, performance tuning), advanced SQL.
Proficiency in English (oral and written).
Experienced with Microsoft Azure environments and related services like ADLS and Synapse.
Holds or is pursuing Microsoft Certifications for Azure Data Engineer Associate and Power BI Data Analyst Associate.
Skilled in data modeling (star/snowflake schema), ETL orchestration, and has familiarity with DevOps practices in data projects.