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HR Interface Recruitment Consulting
Sr Data Engineer (Microsoft Fabric) - Onsite Mumbai
HR Interface Recruitment Consulting
Mumbai•On-site•5-8 Yrs•6 days ago
Job description
Overview
Senior Microsoft Fabric Consultant | Enterprise Data Platform Technical Lead | Senior Data Engineer
Responsibilities
- Architect and implement enterprise-scale Microsoft Fabric solutions for multiple enterprise customers.
- Design modern Lakehouse and Data Warehouse architectures using Microsoft Fabric and Medallion Architecture principles.
- Build scalable enterprise analytics platforms capable of supporting high-volume reporting and AI workloads.
- Design highly optimized enterprise data models for reporting, analytics, and decision support.
- Eliminate reporting latency through efficient pipeline architecture and Direct Lake implementation.
- Ensure solutions adhere to enterprise architecture, governance, scalability, and performance standards.
- Design and develop scalable enterprise data pipelines using Microsoft Fabric.
- Integrate structured, semi-structured, and unstructured data from multiple enterprise applications including ERP, CRM, Finance, Manufacturing, Retail platforms, APIs, databases, and cloud applications.
- Develop scalable PySpark and Spark SQL notebooks for enterprise data transformation.
- Build reusable semantic models enabling self-service analytics across business functions.
- Optimize SQL queries, DAX calculations, and reporting models for enterprise-scale performance.
- Design intuitive, executive-level Power BI dashboards and enterprise reporting solutions.
- Translate complex business requirements into highly scalable analytics products.
- Develop AI-powered reporting capabilities using Microsoft Fabric AI features.
- Build intelligent self-service analytics solutions that empower business users.
- Enhance executive decision-making through advanced analytics, automation, and AI-enabled business intelligence.
- Implement enterprise governance standards including Row-Level Security (RLS), Object-Level Security (OLS), and Dataset Certification.
- Lead collaborative development using Power BI Projects (.PBIP), Git Integration, and enterprise version control.
- Manage CI/CD deployments across Development, QA, UAT, and Production environments using Microsoft Fabric Deployment Pipelines and ALM Toolkit.
- Maintain metadata consistency, semantic model governance, deployment quality, and enterprise compliance standards.
- Develop Python-based automation for testing, validation, monitoring, and quality assurance.
- Automate data validation and lineage using Microsoft Fabric Notebooks and SemPy.
- Integrate Power Automate workflows for business alerts and operational monitoring.
- Continuously improve platform scalability, performance, automation, and operational efficiency.
- Engage directly with enterprise customers to understand business challenges and technical requirements.
- Conduct architecture discussions, technical workshops, and solution presentations with client stakeholders.
- Translate business objectives into scalable Microsoft Fabric and enterprise analytics solutions.
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Qualifications
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- Bachelor's/Masters Degree in Computer Science, Information Technology, Engineering, or a related discipline.
- 5–12 years of experience in Enterprise Data Engineering, Analytics Engineering, BI, Microsoft Data Platforms, or Cloud Data Engineering.
- Demonstrated experience designing and delivering enterprise-scale Microsoft Fabric implementations for external clients.
- Strong expertise in Microsoft Fabric, Power BI, Direct Lake, Medallion Architecture, Lakehouse concepts, Data Warehousing, and Semantic Modelling.
- Advanced SQL, DAX, Python, PySpark, and Spark SQL skills.
- Hands-on experience with Git, Power BI Projects (.PBIP), ALM Toolkit, CI/CD pipelines, and Microsoft Fabric Deployment Pipelines.
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