Descripción
At Pretius , we are looking for a Data Engineer with MS Fabric to build a data and reporting solution that measures AI adoption and business value for PwC US.
The role
combines data engineering, Power BI development, and business stakeholder collaboration, with a future focus on enabling conversational access to data through GenAI solutions. Project / Role Build and maintain data pipelines in Microsoft Fabric, integrating data from multiple sources. Develop data transformations, data models, and semantic models for reporting and analytics.
Create and maintain Power BI reports, including DAX measures and business KPIs. Collaborate with business stakeholders to define and measure AI adoption and business value. Contribute to conversational data access solutions using Fabric Data Agents, Power BI Copilot, or custom LLM-based solutions.
Validate the accuracy and reliability of AI-generated answers by designing test scenarios and defining the scope of supported queries.
Requirements
Hands-on experience with Microsoft Fabric, including Lakehouse/Warehouse, pipelines, Dataflows Gen2, and notebooks. Strong Power BI skills, including data modelling, DAX, and semantic models. Good knowledge of SQL and experience with Python and/or PySpark.
Experience integrating data from various sources, such as APIs, files, databases, and SaaS platforms. Knowledge of or a strong interest in GenAI solutions for data analytics, including text-to-SQL/DAX, Fabric Data Agents, or Power BI Copilot. Underst
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