Microsoft Fabric Developer

About Sonata SoftwareIn today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike.As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail & CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.To know more, visit: www.sonata-software.comJob Title: Microsoft Fabric Developer Experience: 4–8 years Role Overview: The Microsoft Fabric Developer will be responsible for designing, developing, and maintaining end-to-end data and analytics solutions using the Microsoft Fabric platform. The role involves working across Data Engineering, Data Science, and Business Intelligence components within Fabric — leveraging Data Factory, Lakehouse, Data Engineering, Data Science, and Power BI experiences to deliver scalable, governed, and business-ready insights. This position requires strong technical expertise in Microsoft Fabric architecture, Power BI, and Azure data services, coupled with the ability to translate business needs into performant, automated data pipelines and analytical models. Key Responsibilities: 1. Data Ingestion & Integration Design and implement data ingestion pipelines using Microsoft Fabric Data Factory. Integrate data from multiple on-premise and cloud-based sources (SQL, APIs, D365, SAP, Salesforce, etc.). Ensure efficient and secure data movement leveraging OneLake and Lakehouse concepts. Develop and maintain dataflows, linked services, and datasets within Fabric. 2. Data Engineering & Modeling Build Lakehouses, Warehouses, and Data Models using Fabric Data Engineering capabilities. Develop data transformation logic using PySpark, SQL, or Data Wrangler. Optimize performance, partitioning, and indexing strategies for large datasets. Implement data quality, lineage, and governance controls aligned to enterprise standards. 3. Business Intelligence & Visualization Develop semantic models and interactive dashboards using Power BI within Fabric. Enable real-time and near-real-time analytics through Direct Lake or Direct Query connections. Collaborate with business teams to design self-service BI layers and reusable data assets. 4. Collaboration & Automation Collaborate with Data Scientists, Analysts, and Business SMEs to support ML model training and deployment pipelines within Fabric. Automate orchestration, monitoring, and alerting for data pipelines. Integrate Fabric solutions with Power Platform, Azure Synapse, or Azure Machine Learning environments. 5. Governance & Best Practices Implement data security, RBAC, sensitivity labels, and data sharing policies in Fabric. Adhere to data lifecycle management, naming conventions, and cost optimization practices. Contribute to the Data Platform Center of Excellence (CoE) by documenting reusable frameworks and accelerators. Required Skills & Experience: 4–8 years of experience in data engineering, BI, or analytics, with at least 1 year in Microsoft Fabric. Strong proficiency in Microsoft Fabric components, including: Data Factory, Lakehouse, Data Engineering, Data Science, Warehouse, Power BI, OneLake. Advanced skills in SQL, PySpark, and Data Modeling. Experience with Power BI datasets, DAX, and data visualization best practices. Familiarity with Microsoft Purview for governance and Entra ID (Azure AD) for access control. Understanding of ETL/ELT pipelines, CI/CD for data pipelines, and Azure DevOps integration. Exposure to Azure Synapse, Databricks, or Azure Data Lake migration to Fabric. Good-to-Have Skills: Experience integrating Microsoft Fabric with Copilot and GenAI-based insights. Knowledge of Python, Notebooks, or ML model deployment within Fabric Data Science experience. Understanding of RAG pipelines, AI-driven analytics, or Semantic Kernel integration. Certification: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600). Exposure to D365 data sources, Power Platform, or Azure Data Factory (legacy). Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Soft Skills: Strong analytical and problem-solving skills. Excellent collaboration and communication abilities. Ability to translate business needs into data-driven outcomes. Focus on performance optimization, governance, and automation.