Data Engineer - Fabric

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

· 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:

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

· 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