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SGS Consulting is seeking a Senior BI professional to design and implement robust data models and interactive Power BI dashboards. You will manage architecture, gateways, and premium capacities while integrating with Azure Data Factory and SQL Server.
Collaboration with data engineers and stakeholders is essential to deliver scalable BI solutions. The role emphasizes governance, security standards, and performance optimization, including incremental refresh and large dataset handling.
-Design and implement robust data models using star schema and snowflake techniques for optimal performance.Ensure proper relationships, hierarchies, and calculated measures in Power BI datasets.Optimize data models for scalability and maintainability.
Build interactive dashboards and reports aligned with business requirements.
Understand and manage Power BI architecture, including service layers, gateways, and premium capacities.Integrate Power BI with Azure Data Factory, SQL Server, and other enterprise data sources.Ensure compliance with organizational data governance and security standards.
Implement best practices for incremental refresh and large dataset handling.
Work closely with data engineers, analysts, and business stakeholders to deliver high-quality BI solutions.Provide guidance on Power BI adoption, workspace design, and governance frameworks.
Familiarity with ETL processes, data warehousing, and SQL.Understanding of data governance, security, and compliance.
Experience 4-6 years’ experience in SQL programming in platforms with large data asset within an OLTP, OLAP and MPP architecture.3-5 years’ experience with Enterprise BI tool such as MicroStrategy or IBM Cognos or Power BI design & development based on normalized & denormalized data model required. Experience in corporate systems environments required. Experience with a variety of Information Management applications, programming languages, and technologies preferred.Experience with writing and debugging complex SQL queries. Licenses, Registrations, or Certifications in SQL or Power BI preferred.
Work Schedule: 5 Days - 8 Hours Work Type: Full Time
Bachelor’s degree in related fields of study or equivalent job-related experience required.