Microsoft Fabric Data Engineer - RFP-250265-1

Project context Project Context We are looking for a Microsoft Fabric Data Engineer (7+ years in that space) to lead the design and development of a scalable, cloud-native data platform on Microsoft Azure. The role involves integrating data from multiple enterprise systems including SAP BW, SAP HANA, Labware, ELN, Salesforce, and others to build a unified and intelligent enterprise data ecosystem. The data to be processed spans diverse business domains such as Sales, R&I, HR, and finance, enabling cross-functional analytics and AI-driven insights across the organization. The Data Engineer will own the complete lifecycle of data ingestion, transformation, and modeling — building robust, containerized, and automated pipelines using Azure Functions, Docker Containers, MS Fabric, and Kafka. This position requires a proactive mindset, strong technical depth, and the ability to deliver reliable, high-quality data solutions independently. Goals and Deliverables The primary objective is to create a unified and governed Azure-based data ecosystem that enables real-time, scalable, and trusted analytics across multiple business domains. Timezone: CET Hybrid working mode - 3 days / week in office Location: Koregaon Park Pune Goals and deliverables Key Goals and Deliverables • End-to-End Data Integration: Design and implement automated data pipelines integrating 10+ enterprise systems (SAP BW, SAP HANA, Labware, ELN, Salesforce, etc.) using Azure Functions, Docker Containers, and MS Fabric. • Data Modeling and Transformation: Develop efficient data models across diverse domains — sales, operations, HR, customers, materials, and finance — to support analytics and AI-driven insights. • Governance, Security, and Performance: Implement strong data governance frameworks, ensure data lineage and access control, and optimize pipeline performance using Azure-native capabilities. • AI and Analytics Enablement: Deliver clean, structured, and enriched datasets ready for consumption by BI and AI/ML models for advanced analytics and KPI prediction. • Documentation and Knowledge Transfer: Prepare technical documentation, architecture diagrams, and conduct handover sessions to ensure long-term sustainability and scalability. Expected Skills and Expertise • Microsoft Fabric (MS Fabric) • Python  • SQL • Azure Functions • Apache Kafka • Docker Containers • Data Modeling (Dimensional & Relational) • Multi-Source Data Integration (SAP BW, SAP HANA, Labware, ELN, Salesforce, etc.) • Event-Driven Architecture and Real-Time Data Processing • Data Governance and Security • CI/CD and GitHub Ideal Candidate Profile • Proven experience in Azure Data Engineering and cloud-native data architectures. • Expertise with MS Fabric, Azure Functions, Kafka, and Docker Containers. • Solid understanding of data modeling, ETL/ELT processes, and performance tuning. • Familiarity with SAP BW, SAP DataSphere and SAP ERP data structures for effective source system integration. • Strong sense of ownership, with the ability to work independently and deliver end-to-end solutions.