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about 1 month ago
Requirements and responsibilities
1. Role OverviewWe are seeking a highly skilled Microsoft Fabric Data Engineer with strong expertise in building scalable data platforms and engaging directly with US-based clients. The ideal candidate will play a key role in designing, developing, and optimizing enterprise-grade data solutions, with a focus on data modeling, reporting optimization, and modern analytics architectures.This role requires a blend of technical depth, business understanding, and client-facing communication skills.Key ResponsibilitiesData Engineering & Platform DevelopmentDesign and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Notebooks)Build scalable data architectures leveraging medallion (Bronze/Silver/Gold) patterns and lakehouse models [GSL MS Fab...ument V1.3 | Word]Develop robust and optimized ETL/ELT pipelines for structured and semi-structured dataIntegrate data from multiple enterprise sources (SQL Server, APIs, cloud platforms)Data Modeling & ReportingDesign and develop semantic models and data models for reporting and analytics [ImpactNOW Proposal | PowerPoint]Build optimized data models (facts, dimensions, relationships) for Power BI reportingEnable Direct Lake / real-time analytics scenarios and reporting performance optimizationWork closely with BI teams to ensure high-performing dashboards and reportsClient Engagement (US Clients)Interface directly with US stakeholders to understand business requirements and reporting needsParticipate in requirement gathering, solution walkthroughs, and design discussionsTranslate business requirements into scalable technical solutionsProvide regular status updates, demos, and technical insights to client teamsArchitecture & Best PracticesDefine and implement Fabric-based data architectures aligned with enterprise standardsEnsure data governance, data quality, and security best practicesOptimize performance, scalability, and cost across data pipelines and storageCollaborate with architects and cross-functional teamsRequirementsCore Technical SkillsStrong experience with Microsoft Fabric / Azure Data PlatformHands-on experience with:Fabric Lakehouse, Data Factory, Dataflows / PipelinesPower BI (Data modeling, DAX, performance tuning)SQL, Python, PySparkExpertise in data modeling (dimensional modeling, star/snowflake schemas)Experience building scalable data pipelines and distributed processing systemsData Platform & IntegrationExperience with:Azure Data Factory / Synapse / DatabricksData ingestion, transformation, and orchestrationUnderstanding of data lake, data warehouse, and lakehouse architecturesEngineering PracticesExperience with CI/CD, version control, and deployment pipelinesStrong debugging, performance tuning, and problem-solving skillsPreferred QualificationsExperience with Direct Lake / Real-time intelligence (RTI) scenarios [Fabric + RTI | PowerPoint]Exposure to API integrations and application-level data consumption [GSL MS Fab...ument V1.3 | Word]Certifications in Microsoft Azure / Fabric / Power BIExperience in industry domains (Healthcare, Retail, Finance)Experience Requirements5–10 years of experience in Data EngineeringMinimum 2+ years of experience in Microsoft Fabric or modern analytics stackDemonstrated experience in client-facing roles with US stakeholders [Re: Job De...a engineer | Outlook]Key CompetenciesStrong analytical and problem-solving capabilityBusiness-oriented thinking with technical depthAbility to work independently and in global delivery teamsProactive mindset with ownership and accountabilityNice-to-HaveExposure to AI/ML integration within Fabric ecosystemExperience working in consulting or delivery-led environmentsFamiliarity with Agile delivery models