BENGALURU · FULLTIME
Data Engineer - Fabric
blackbuck insights
Bengaluru · onsite · Posted 65d ago
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Undisclosed5–10 yrsfulltimeBengaluru
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Section · 01
About this role
Job_Description":" Requirements
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.
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 (Lake-house 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
Utilize 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
Qualifications
Bachelors 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:
o Data ingestion and integration
o Data transformation and orchestration
o Data storage, data lakes, and lake-house architecture
o Data warehousing and dimensional modelling
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 work-streams, teams, and geographies
Up-to-date knowledge of industry trends and best practices in data engineering and analytics
Technical qualifications
Strong hands-on experience as a Data Engineer on Microsoft Fabric and Azure platforms, including:
o Fabric Lake-house/Warehouse/Event House/ Materialized Lake view
o Fabric Ingestion (Data Factory, Pipelines, Dataflow Gen1, Dataflow Gen2, Copy Job, Notebooks, EventStream, Spark Job Definition, Spark structure streaming)
o Fabric Orchestration (Apache Airflow)
o Data Engineering Languages (Py-Spark/Spark SQL /KQL)
Experience with Azure analytics services, including:
o Azure Data Factory
o Azure Synapse Analytics
o Azure Data Lake Storage
o Azure Data-bricks (where applicable)
Development using Python and Spark notebooks
Understanding of data modelling skills, including dimensional modelling (Kimball / star schema)
Advanced SQL skills for analytical workloads