Data Engineer Advisor
At a glance
Mid-level Data Engineering role at NTT DATA. Bangalore.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build Power BI semantic models with business calculations, then create reports and dashboards that meet usability and performance needs
- Set access controls for analytics, and assess Fabric IQ and Copilot features against platform availability and approved designs
- Create Copilot Studio conversations and Power Apps patterns for business workflows, forms and application interactions
- Turn priority business needs into analytics and AI designs, connecting them to Fabric data and approved information sources
- Work with architecture, engineering and QA teams through testing, demonstrations, deployment and knowledge transfer
What you bring
- At least eight years in business intelligence, analytics, data solutions or Microsoft technology consulting
- Strong practical Power BI skills across modelling, DAX, Power Query, semantic models and report performance
- Experience using Microsoft Fabric analytics with Lakehouse or Warehouse data, plus Copilot Studio and Power Apps
- Knowledge of identity, permissions, data protection and responsible AI for analytics and AI solutions
Who this fits
This role suits an experienced Microsoft analytics specialist who can turn business needs into practical analytics, AI and low-code designs. You’ll work across architecture, data and platform engineering, and QA, and support demonstrations, UAT, deployment and knowledge transfer.
From the employer
Role: Fabric Analytics, AI & Power Platform Specialist
Total Experience: 8+ years
Relevant Experience: 6+ years
Role Overview
The Fabric Analytics, AI & Power Platform Specialist will lead the analytics, semantic modelling, AI and business application consumption layer of the solution. The role will develop business-ready insights using Power BI and Microsoft Fabric capabilities, while designing appropriate Copilot Studio and Power Apps patterns for priority business use cases.
Key Responsibilities
- Design and develop Power BI semantic models, including measures, relationships, business calculations and reusable analytical models.
- Build Power BI reports and dashboards aligned with business requirements, usability and performance expectations.
- Implement appropriate security and access patterns for semantic models, reports and analytical consumption.
- Evaluate and implement relevant Microsoft Fabric IQ and Copilot capabilities, subject to platform availability, licensing and approved architecture.
- Design and develop Copilot Studio solutions, including conversational experiences, knowledge sources, actions and integrations as required.
- Design Power Apps consumption patterns for business workflows, forms and application-based interactions.
- Translate priority business use cases into analytics, AI and low-code solution designs.
- Integrate the analytics and AI layer with Fabric data assets and approved enterprise information sources.
- Apply appropriate data access, permissions, responsible AI, testing and validation practices.
- Collaborate with architecture, data engineering, platform engineering and QA teams to ensure end-to-end solution integration.
- Support user demonstrations, UAT, performance optimisation, deployment and knowledge transfer.
- Maintain semantic model documentation, solution design artefacts and operational guidance.
Required Skills and Experience
- 12+ years of overall IT experience, including 8+ years in business intelligence, analytics, data solutions or Microsoft technology consulting.
- Strong hands-on expertise in Power BI, including data modelling, DAX, Power Query, semantic models and report performance optimisation.
- Experience with Microsoft Fabric analytics and integration with Lakehouse or Warehouse data.
- Understanding of Fabric IQ and Copilot capabilities relevant to analytics and data consumption.
- Experience with Microsoft Copilot Studio, conversational AI, knowledge sources and workflow or connector integrations.
- Experience with Microsoft Power Apps and integration with Microsoft 365 or other enterprise services.
- Understanding of identity, permissions, data security and responsible AI considerations.
- Ability to engage with business stakeholders and translate requirements into practical analytics and AI solutions.
Preferred: Experience with Power Automate, Microsoft Graph, Azure AI services and delivery of enterprise analytics or AI use cases in regulated environments.
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