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 hands-on expertise in designing, developing, and optimizing enterprise-scale data solutions using Microsoft Fabric technologies. This role requires a strong technical background and the ability to work collaboratively with cross-functional teams to deliver scalable and efficient data platforms.
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 high performance and scalability.
- Utilize OneLake, Data Factory, and other Microsoft Fabric components to build robust and scalable data platforms.
- Create data transformation and processing solutions using SQL, Python, and PySpark.
- Integrate data from diverse sources and implement efficient ETL/ELT processes.
- Design data models and optimize data processing workflows to support analytics and reporting requirements.
- Implement and maintain data governance, security protocols, data quality standards, and access control measures.
- Troubleshoot and resolve performance issues to ensure the reliability and scalability of data solutions.
- Collaborate closely with business stakeholders, data engineers, and BI teams to translate business requirements into technical solutions.
- Support deployment, monitoring, and continuous improvement initiatives within Microsoft Fabric environments.
Required Qualifications & Skills
- 7 to 10 years of relevant experience in data engineering, data architecture, or analytics.
- Possession of a relevant Microsoft Fabric certification is mandatory.
- Strong hands-on experience with Microsoft Fabric and its core components.
- Proficiency in SQL, Python, and/or PySpark programming languages.
- Demonstrated experience with data pipelines, ETL/ELT processes, data modeling, and data warehousing concepts.
- Practical knowledge of Lakehouse architecture, OneLake, and Microsoft Fabric Data Factory.
- Familiarity with Power BI and its integration capabilities with Microsoft Fabric.
- Solid understanding of data governance, security best practices, and performance optimization techniques.
- Excellent analytical, troubleshooting, and problem-solving skills.
This position offers an exciting opportunity to work with cutting-edge Microsoft Fabric technologies in a dynamic environment, contributing to the development of scalable data solutions that drive business insights and decision-making.