microfrabic
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฑ-๐ฎ๐ฌ ๐๐ฃ๐)
Experience: 7+ yrs
Location: Hyderabad, Pune, Bengaluru
Job Type: Full-time
We are looking for an experienced Microsoft Fabric professional with 7+ years of experience in data engineering, analytics, and modern data platform technologies. The ideal candidate will have strong hands-on expertise in Microsoft Fabric and be capable of designing, developing, and optimizing scalable enterprise data solutions.
This role will involve working across data ingestion, transformation, analytics, reporting, and platform optimization while partnering with business and technology teams to deliver reliable, high-performing data solutions.
Requirements
Key Responsibilities
- Design, develop, and implement scalable data solutions using Microsoft Fabric.
- Work with Fabric components including OneLake, Lakehouse, Data Factory, Data Warehouse, and Power BI.
- Build robust data ingestion and transformation pipelines from multiple data sources.
- Develop and optimize data models to support analytics and reporting requirements.
- Implement efficient ETL/ELT processes while maintaining data quality and reliability.
- Integrate Microsoft Fabric with enterprise applications, databases, APIs, and cloud data sources.
- Monitor and optimize data pipelines, workloads, and platform performance.
- Develop solutions that support real-time and batch data processing requirements.
- Implement data governance, security, access controls, and quality standards.
- Collaborate with business analysts, data scientists, BI developers, architects, and engineering teams.
- Translate business requirements into scalable technical data solutions.
- Troubleshoot data, pipeline, performance, and integration issues.
- Establish best practices for development, deployment, monitoring, and documentation.
- Contribute to migration and modernization initiatives involving legacy data platforms.
- Stay current with Microsoft Fabric capabilities and emerging data engineering practices.
What Makes You a Great Fit
- 7+ years of experience in data engineering, analytics, BI, or related technology roles.
- Strong hands-on experience with Microsoft Fabric and its core capabilities.
- Good understanding of OneLake, Lakehouse, Data Factory, Data Warehouse, and Power BI.
- Strong SQL and data modelling skills.
- Experience developing and managing enterprise-grade ETL/ELT pipelines.
- Knowledge of cloud-based data platforms and modern data architecture.
- Experience with data integration, transformation, performance optimization, and troubleshooting.
- Understanding of data governance, security, quality, and access management.
- Strong analytical and problem-solving abilities.
- Excellent communication skills with the ability to work effectively with technical and business stakeholders.
- Ability to work independently while collaborating effectively within cross-functional teams.
- Experience with data platform modernization or migration projects is an advantage.
- Microsoft certifications related to Fabric, Azure Data Engineering, or Power BI would be an added advantage.