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Microsoft Fabric data Engineer

Full-time

Blackbuck Insights

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. 

 

  1. 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 

 

  1. 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 

 

  1. 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 

 

 

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