Overview of The Role The Data Engineer is responsible for designing, building, and supporting scalable, secure, and highperformance 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 (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





Utilize Microsoft Analytics tools for seamless integration and effective 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

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

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

📌 Data engineer fabric (Bengaluru)
🏢 Blackbuck Insights (BBI)
📍 Bengaluru