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Tier-1 brand, mid-level metro data engineer role with common skills yields high applicant competition.
Role requires Microsoft Fabric, Power BI and Azure data engineering, reducing cross-industry transferability.
Mandatory 4 years plus Fabric, Power BI, and SQL skills create strict shortlisting filters.
Design and develop scalable end-to-end data pipelines and data solutions leveraging Microsoft Fabric components such as Data Factory, Lakehouse, and Warehouse.
Build and optimize Lakehouse architectures, develop complex SQL and PySpark transformations, and advanced Power BI semantic models and reports.
Collaborate with business stakeholders to support business intelligence initiatives and mentor junior team members on technical skills.
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 required.
Experienced independent contributor capable of handling modules and participating in architectural discussions within Microsoft Fabric and Azure environments.
Proficient in designing and optimizing data workflows including Lakehouse architectures, advanced BI reporting, and complex data transformations.
Familiar with DevOps practices, data modeling (star/snowflake schemas), and mentoring team members to elevate technical standards.