Job DescriptionMS fabric Data Engineer Role
- Overview of The Role
The Data Engineer is responsible for designing, building, and supporting scalable, secure, and high-performance analytics solutions on the Microsoft Fabric platform. This role combines strong technical depth with business acumen to translate evolving business needs into trusted data products.
The individual will play a key role in shaping and executing our clients modern BI and analytics strategy.
- HowYou Will Make Contributions That Matter:
- Partnerclosely with stakeholders to translate business requirements intoFabric-based data models, pipelines, and analytical solutions
- Contributeto the end-to-end design and evolution of a scalable enterprise analyticsarchitecture using Microsoft Fabric
- Collaboratewith Business SMEs and technical teams (Infrastructure, Security,Dynamics, external) to design and deliver sustainable, governed analyticssolutions
- Assist withpreparation and facilitation of design workshops with documented outcomes(requirements, design, data models)
- Ensuresolutions are scalable, secure, cost-effective, and aligned with data& ai strategy
- Designand develop high-performance data engineering components capable ofprocessing large volumes of structured and semi-structured data
- Buildreusable, enterprise-grade data models (Lakehouse and semantic models)aligned with architectural standards and best practices
- Contributeto administration, governance, and operational health of the MicrosoftFabric platform
- Defineand execute test strategies, including data validation, performancetuning, and data profiling
- MonitorFabric pipelines, data refreshes, and workloads, proactively troubleshootand resolve issues
- Ownincident resolution and day-to-day sustainment of Fabric analyticssolutions
- tilizeMicrosoft Analytics tools for seamless integration and efficient userinterface development to enhance overall user experience
- Optimize SQL,Spark, and DAX queries for performance and scalability
- Mentoranalytics, functional and business teams on Microsoft Fabric capabilities,patterns, and best practices
- Contributesto work effort estimation for new and enhanced projectopportunities
- Supervision
- Actsas an individual contributor and operates independently whileensuring alignment with enterprise BI and analytics strategy
- Canoversee project and support activities such as troubleshooting,enhancements, capacity planning, upgrades, and migrations
- Communicatesclearly and collaborates effectively with cross-functional andgeographically distributed teams
- Qualifications
- Bachelor'sdegree in information systems, Computer Science, Software Engineering, orequivalent experience
- 5+years of hands-on experience delivering enterprise analytics and dataengineering solutions on Microsoft platforms
- Strongexperience engineering solutions on Microsoft Fabric and modern Azureanalytics services, with understanding and working knowledge of otherindustry-standard analytics and data engineering tools.
- MicrosoftAzure / Fabric certifications
- Dataingestion and integration
- Datatransformation and orchestration
- Datastorage, data lakes, and lakehouse architecture
- Datawarehousing and dimensional modeling
- Experiencewith CI/CD, DevOps, and source control (Azure DevOps, GitHub)
- Understandingof administration, security, and governance for Microsoft analyticsplatforms
- Experiencewith enterprise delivery methodologies (Agile/ Waterfall) andestimation practices
- Robustunderstanding of Optimization techniques to improve ingestionprocess
- Experiencein building real time solutions end to end
- Experiencein ingesting data from SaaS, on-prem, PaaS, SharePoint anddifferent file formats
- Understandingof advanced AI technologies like ML, Agentic AI.
- Strongwritten and verbal communication skills, especially for technical designdocumentation
- Abilityto operate effectively across complex, interdependentworkstreams, teams, and geographies
- Up-to-dateknowledge of industry trends and best practices in data engineering andanalytics
- Technicalqualifications
- Stronghands-on experience as a Data Engineer on Microsoft Fabric and Azureplatforms, including:
- FabricLakehouse/Warehouse/EventHouse/ Materialized Lake view
- Fabric Ingestion(Data Factory, Pipelines, Dataflow Gen1, Dataflow Gen2, CopyJob, Notebooks, EventStream, Spark JobDefinition, Spark structure streaming)
- Fabric Orchestration (ApacheAirflow)
- DataEngineering Languages (Py-Spark/Spark SQL /KQL)
- Experiencewith Azure analytics services, including:
- AzureDatabricks (where applicable)
- Developmentusing Python and Spark notebooks
- Understandingof data modeling skills, including dimensional modeling (Kimball / starschema)
- AdvancedSQL skills for analytical workloads
- Goodunderstanding of Power BI
- Workspace,security, and capacity management
- Solidunderstanding of DevOps / GitHub for version control and CI/CD
- Practicalunderstanding of Microsoft Fabric governance, security (One Lake Security,SQL security), and workload management
