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Mid-level generalist Data Engineer in Bangalore with common experience profile increases applicant competition.
Heavy Microsoft Fabric, Power Platform and RAG/GenAI requirements limit fit to platform-experienced candidates.
Explicit 5+ years plus many mandatory platform, Power Platform and ML/GenAI skills enforce strict technical filters.
Design, build, and operate enterprise analytics, reporting (Power BI), and automation applications using Microsoft Fabric, Python, Power Automate, and Power Apps.
Establish and maintain Microsoft Fabric architecture, manage platform governance, environment strategies, and collaborate with security/IT for compliance.
Develop AI-powered automations including agentic AI workflows, RAG-powered analytics copilots, ML pipelines, and implement LLMOps and AI governance for measurable business outcomes.
5+ years in analytics, BI, or data engineering roles.
3+ years hands-on Power BI development experience.
Strong experience with Microsoft Fabric components and hands-on Python for ML/GenAI production solutions.
Working knowledge of RAG concepts, environment/security management, and data governance best practices.
Experienced in enterprise-scale analytics platform design and governance with cross-cloud familiarity (Azure, GCP).
Capable of translating complex business needs into scalable, secure AI and data engineering solutions with operational monitoring.
Skilled in AI/ML productionization including LLMOps/model monitoring, with proven track record of delivering measurable efficiencies or defect reductions.