About Exponentia.ai
Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the
US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.
We are proud partners with global technology leaders such as
Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.
Awards & Recognitions
- Innovation Partner of the Year Databricks, 2024
- Digital Impact Award, UK 2024 (TMT Sector)
- Rising Star APJ Databricks Partner Awards 2023
- Qlik's Most Enabled Partner APAC
With a team of
450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.
Learn more: www.exponentia.ai
About The Role
We are seeking a talented
MS Fabric Engineer to design, build, and optimize data and analytics solutions on the
Microsoft Fabric platform. The ideal candidate should have hands-on experience with Fabric components such as Lakehouse, Data Factory, Data Engineering notebooks, Dataflows, Power BI, and Real-Time Analytics. This role involves developing scalable pipelines, semantic models, and data workflows while collaborating with cross-functional teams
Key Responsibilities
Data Engineering & Pipeline Development- Build and maintain data ingestion and transformation pipelines using:
- Fabric Data Factory (pipelines & orchestration)
- Data Engineering notebooks (Spark/Python)
- Dataflows Gen2
- Develop and optimize ETL/ELT processes for large-scale datasets.
- Implement reusable modules for data ingestion, cleansing, quality checks, and transformations.
Fabric Platform Expertise- Work with core Microsoft Fabric components including:
- OneLake & Lakehouse architecture
- Fabric Warehouse & SQL Endpoints
- KQL for Real-Time Analytics
- Power BI semantic models & reporting layers
- Develop efficient data models, star schemas, and analytics-ready structures.
- Configure Fabric workspaces, permissions, and governance according to best practices.
Solution Development & Collaboration
- Translate business requirements into technical specifications with BAs and PMs.
- Collaborate with architects, Power BI developers, and QA teams for seamless delivery.
- Participate in sprint planning, backlog refinement, and daily stand-ups (Agile environment).
- Support deployments, troubleshooting, and performance tuning of Fabric workloads.
Quality, Testing & Documentation
- Prepare technical documentation including data dictionaries, pipeline flows, and solution designs.
- Ensure data accuracy and integrity across Fabric components.
- Support QA teams with test data, validation queries, and scenario clarification.
- Conduct root-cause analysis for data issues and implement fixes.
