About the Role: We are looking for a skilled and motivated Microsoft Fabric Engineer with 5+ years of experience in data engineering, cloud analytics, and modern data platform development. The ideal candidate should have hands-on experience with Microsoft Fabric, Azure data services, ETL/ELT development, and enterprise analytics solutions.

The candidate will be responsible for developing, implementing, and supporting scalable data engineering and analytics solutions while collaborating with cross-functional teams to deliver business-driven insights and cloud-based data platforms.

Key Responsibilities

- Develop and maintain data pipelines and ETL/ELT workflows using Microsoft Fabric and Azure services.
- Build and support Lakehouse, Data Warehouse, and analytics solutions within Microsoft Fabric.
- Work with business analysts, architects, and stakeholders to understand data and reporting requirements.
- Implement data ingestion, transformation, and orchestration processes for structured and unstructured data sources.
- Develop scalable and optimized data models for analytics and reporting.
- Support Power BI reporting and dashboard integration with Microsoft Fabric.
- Monitor and optimize data workflows, pipeline performance, and system reliability.
- Collaborate with DevOps teams for deployment automation and CI/CD implementation.
- Ensure data quality, governance, security, and compliance standards are maintained.
- Troubleshoot and resolve data integration and platform-related issues.
- Prepare technical documentation, mapping documents, and operational procedures.
- Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

Roles And Skills & Experience

- 5+ years of experience in Data Engineering, BI Development,



or Cloud Data Platforms.
- Hands-on experience with Microsoft Fabric and Azure data ecosystem.

Strong Experience With

- Microsoft Fabric
- OneLake
- Fabric Data Factory
- Fabric Data Warehouse
- Fabric Data Engineering
- Power BI
- Lakehouse Architecture

Experience With Azure Services Such As

- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure SQL
- Azure Storage
- Azure DevOps
- Strong knowledge of SQL and data transformation techniques.
- Experience with Python, Spark, or PySpark is preferred.
- Understanding of ETL/ELT concepts and data integration frameworks.
- Valuable understanding of data warehousing and dimensional modeling concepts.
- Experience in performance tuning and optimization of data pipelines.
- Knowledge of CI/CD and DevOps practices is preferred.
- Strong analytical and problem-solving skills.
- Good communication and stakeholder interaction abilities.

Preferred Qualifications

- Bachelors degree in Computer Science, Information Technology, Engineering, or related field.
- Microsoft Azure or Microsoft Fabric certifications preferred.
- Experience working in Agile/Scrum delivery models.
- Exposure to enterprise analytics and reporting environments.

Soft Skills

- Strong communication and collaboration skills
- Good analytical and troubleshooting abilities
- Ability to work independently and within teams
- High ownership and accountability
- Adaptability in fast-paced project environments

Nice To Have

- Experience with real-time analytics and streaming data
- Exposure to AI/ML or advanced analytics projects
- Knowledge of data governance and security frameworks
- Experience with API integrations and cloud-native architectures
- Exposure to multi-cloud platforms suchs as AWS or GCP

(ref:hirist.tech)

📌 Exponentia.ai - MS Fabric Engineer - Azure/Data Services (Mumbai)
🏢 Exponentia.ai
📍 Mumbai