Microsoft Fabric data Engineer

MS fabric Data Engineer Role

1. 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. 

2. How
   You Will Make Contributions That Matter: 
   

• Partner
  closely with stakeholders to translate business requirements into
  Fabric-based data models, pipelines, and analytical solutions 
  
• Contribute
  to the end-to-end design and evolution of a scalable enterprise analytics
  architecture using Microsoft Fabric 
  
• Collaborate
  with Business SMEs and technical teams (Infrastructure, Security,
  Dynamics, external) to design and deliver sustainable, governed analytics
  solutions 
  
• Assist with
  preparation and facilitation of design workshops with documented outcomes
  (requirements, design, data models) 
  
• Ensure
  solutions are scalable, secure, cost-effective, and aligned with data
  & ai strategy 
  
• Design
  and develop high-performance data engineering components capable of
  processing large volumes of structured and semi-structured data 
  
• Build
  reusable, enterprise-grade data models (Lakehouse and semantic models)
  aligned with architectural standards and best practices 
  
• Contribute
  to administration, governance, and operational health of the Microsoft
  Fabric platform 
  
• Define
  and execute test strategies, including data validation, performance
  tuning, and data profiling 
  
• Monitor
  Fabric pipelines, data refreshes, and workloads, proactively troubleshoot
  and resolve issues 
  
• Own
  incident resolution and day-to-day sustainment of Fabric analytics
  solutions 
  
• tilize
  Microsoft Analytics tools for seamless integration and efficient user
  interface development to enhance overall user experience 
  
• Optimize SQL,
  Spark, and DAX queries for performance and scalability 
  
• Mentor
  analytics, functional and business teams on Microsoft Fabric capabilities,
  patterns, and best practices 
  
• Contributes
  to work effort estimation for new and enhanced project
  opportunities 
  

• Supervision  
  
• Acts
  as an individual contributor and operates independently while
  ensuring alignment with enterprise BI and analytics strategy 
  
• Can
  oversee project and support activities such as troubleshooting,
  enhancements, capacity planning, upgrades, and migrations 
  
• Communicates
  clearly and collaborates effectively with cross-functional and
  geographically distributed teams 
  

2. Qualifications 
   

• Bachelor’s
  degree in information systems, Computer Science, Software Engineering, or
  equivalent experience 
  

• 5+
  years of hands-on experience delivering enterprise analytics and data
  engineering solutions on Microsoft platforms 
  

• Strong
  experience engineering solutions on Microsoft Fabric and modern Azure
  analytics services, with understanding and working knowledge of other
  industry-standard analytics and data engineering tools. 
  

• Microsoft
  Azure / Fabric certifications 
  

• Strong
  foundation in:  
  

• Data
  ingestion and integration 
  

• Data
  transformation and orchestration 
  

• Data
  storage, data lakes, and lakehouse architecture 
  

• Data
  warehousing and dimensional modeling 
  

• Experience
  with CI/CD, DevOps, and source control (Azure DevOps, GitHub) 
  

• Understanding
  of administration, security, and governance for Microsoft analytics
  platforms 
  

• Experience
  with enterprise delivery methodologies (Agile/ Waterfall) and
  estimation practices  
  

• Robust
  understanding of Optimization techniques to improve ingestion
  process  
  

• Experience
  in building real time solutions end to end  
  

• Experience
  in ingesting data from SaaS, on-prem, PaaS, SharePoint and
  different file formats  
  

• Understanding
  of advanced AI technologies like ML, Agentic AI. 
  

• Strong
  written and verbal communication skills, especially for technical design
  documentation  
  

• Ability
  to operate effectively across complex, interdependent
  workstreams, teams, and geographies  
  

• Up-to-date
  knowledge of industry trends and best practices in data engineering and
  analytics 
  

3. Technical
   qualifications  
   

• Strong
  hands-on experience as a Data Engineer on Microsoft Fabric and Azure
  platforms, including:  
  

• Fabric
  Lakehouse/Warehouse/Event
  House/ Materialized Lake view  
  

• Fabric Ingestion
  (Data Factory, Pipelines, Dataflow Gen1, Dataflow Gen2, Copy
  Job, Notebooks, EventStream, Spark Job
  Definition, Spark structure streaming) 
  

• Fabric Orchestration (Apache
  Airflow) 
  

• Data
  Engineering Languages (Py-Spark/Spark SQL /KQL) 
  

• Experience
  with Azure analytics services, including:  
  

• Azure
  Data Factory 
  

• Azure
  Synapse Analytics 
  

• Azure
  Data Lake Storage 
  

• Azure
  Databricks (where applicable) 
  

• Development
  using Python and Spark notebooks  
  

• Understanding
  of data modeling skills, including dimensional modeling (Kimball / star
  schema)  
  

• Advanced
  SQL skills for analytical workloads  
  

• Good
  understanding of Power BI  
  

• Workspace,
  security, and capacity management 
  

• Solid
  understanding of DevOps / GitHub for version control and CI/CD  
  

• Practical
  understanding of Microsoft Fabric governance, security (One Lake Security,
  SQL security), and workload management