Microsoft Fabric - Data Engineer

KPI Partners is seeking a talented and motivated MS Fabric - Data Engineer to join our dynamic team. As a Data Engineer, you will be responsible for designing, developing, and implementing data solutions using Microsoft Fabric. You will play a crucial role in building robust data pipelines, optimizing data workflows, and ensuring data quality and integrity.

Key Responsibilities: 

• Design and implement data integration solutions using MS Fabric to support analytics and reporting needs. 
• Collaborate with data architects and data analysts to understand data requirements and translate them into technical specifications. 
• Develop and maintain ETL processes to ingest, transform, and load data from various sources into data warehouses. 
• Optimize data storage and retrieval processes to improve performance and efficiency. 
• Ensure data quality and consistency through thorough testing and validation of data pipelines. 
• Monitor and troubleshoot data processes to identify and resolve issues proactively. 
• Document data processes, data models, and design specifications to maintain clear and concise project documentation. 
• Stay up to date with the latest technologies and best practices in data engineering and cloud computing.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related field. 
• Proven experience as a Data Engineer, with a focus on Microsoft Fabric and related technologies. 
• Strong proficiency in SQL and experience with data modeling and database design. 
• Familiarity with ETL tools and data integration frameworks. 
• Experience working with cloud platforms, particularly Azure. 
• Excellent problem-solving skills and the ability to work independently as well as part of a team. 
• Strong communication skills for effective collaboration with technical and non-technical stakeholders.

KPI Partners offers a competitive salary and benefits package along with opportunities for professional development and growth. If you are passionate about data engineering and excited to work with cutting-edge technology, we encourage you to apply.