Business Intelligence (BI) Engineer

Job Description

Job Description

We are looking for a skilled Business Intelligence (BI) Engineer to lead the development and delivery of advanced BI platforms for our organization. This role involves driving architectural decisions, managing cloud migrations, and optimizing data solutions to support business needs. The ideal candidate will have a passion for data, an ability to collaborate with stakeholders, and a commitment to fostering a high-performing team.

Responsibilities :

• Oversee and enhance existing BI platforms, including environments utilizing Amazon S3, Redshift, Lambda, and Power BI, as well as EC2-based BI stacks.
• Lead the migration of on-premises BI solutions to Azure Data Factory, Synapse Analytics, OneLake, and other Microsoft Fabric services.
• Design and develop robust data pipelines, semantic models, and interactive reports to meet diverse business requirements.
• Implement industry best practices for data modeling, performance optimization, and security across all BI solutions.
• Define and manage project scopes, timelines, and priorities to ensure successful delivery of multiple BI initiatives.
• Collaborate with business stakeholders to gather requirements, scope projects, and translate business needs into technical solutions.
• Facilitate design reviews, provide end-user training, and conduct demo sessions for new BI features.
• Mentor and guide BI developers and analysts, conducting code reviews and sharing knowledge to enhance team capabilities.
• Establish and promote standards for data governance, testing procedures, and documentation across all BI activities.
• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• At least 5 years of experience in BI development and architecture across Amazon and on-premises BI stacks.
• Proficiency with Power BI, including advanced calculations, custom visualizations, and performance tuning.
• Expertise in Amazon BI technologies (S3, Redshift, Lambda) and on-premises BI tools hosted on EC2.
• Strong knowledge of Azure and Microsoft Fabric services, including Data Factory, Synapse Analytics, OneLake, Data Activator, and Azure Analysis Services.
• Proven experience in migrating on-premises BI solutions to Azure and Microsoft Fabric.
• Familiarity with data modeling techniques such as Star and Snowflake schemas, as well as semantic layer development.
• Preferred certifications : Azure Data Engineer Associate or Microsoft Fabric Data Engineer.