Data Fabric Engineer (Immediate Joiner)

We are looking for a seasoned Data Fabric Engineer with 7 to 10 years of experience in data engineering, data architecture, and analytics. The ideal candidate will possess a relevant Microsoft Fabric certification and demonstrate strong hands-on expertise in designing, developing, and optimizing enterprise-scale data solutions using Microsoft Fabric technologies. This role demands a deep understanding of Microsoft Fabric components and the ability to build scalable, efficient data platforms that support business intelligence and analytics needs.

Key Responsibilities

- Design and implement comprehensive end-to-end data solutions leveraging Microsoft Fabric.
- Develop and optimize data pipelines, Lakehouses, Warehouses, and data integration workflows to ensure efficient data flow and processing.
- Utilize OneLake, Data Factory, and other Microsoft Fabric components to construct scalable and robust data platforms.
- Create data transformation and processing solutions using SQL, Python, and PySpark to meet business requirements.
- Integrate data from diverse sources and implement effective ETL/ELT processes to maintain data integrity and accessibility.
- Design data models optimized for analytics and reporting purposes.
- Enforce data governance policies, security protocols, data quality standards, and access control mechanisms.
- Troubleshoot and resolve performance issues to maintain the reliability and scalability of data solutions.
- Collaborate closely with business stakeholders, data engineers, and BI teams to translate business requirements into technical implementations.
- Support deployment, monitoring, and continuous improvement efforts within Microsoft Fabric environments.

Required Qualifications

- 7 to 10 years of relevant experience in data engineering, data architecture, or analytics roles.
- Mandatory possession of a relevant Microsoft Fabric certification.
- Strong practical experience with Microsoft Fabric and its core components.
- Proficiency in SQL, Python, and/or PySpark for data processing and transformation.
- Demonstrated experience with data pipelines, ETL/ELT processes, data modeling, and data warehousing.
- Solid knowledge of Lakehouse architecture, OneLake, and Microsoft Fabric Data Factory.
- Familiarity with Power BI and its integration capabilities within the Microsoft Fabric ecosystem.
- Understanding of data governance, security best practices, and performance optimization techniques.
- Excellent analytical, troubleshooting, and problem-solving skills.

This position offers the opportunity to work on cutting-edge data technologies within a dynamic environment, contributing to the development of scalable data platforms that drive business insights and decision-making. Candidates who meet these qualifications and are passionate about data engineering and Microsoft Fabric solutions are encouraged to apply.