Business Intelligence Engineer

Job Description

Responsibilities

• Design, develop, and optimize dashboards using Power BI, Tableau, and other BI tools as required.
• Build interactive, performance-optimized visuals, data models, and semantic layers.
• Create reusable KPIs, measures (DAX), calculated fields, and templates.
• Engage directly with business users to gather requirements, clarify objectives, and translate needs into technical specifications.
• Own requirement understanding end-to-end and ensure alignment before development begins.
• Deliver reporting solutions with minimal rework through strong requirement comprehension.
• Build robust data models including fact/dimension structures, star/snowflake schemas.
• Develop SQL queries, stored procedures, and optimized data transformations.
• Work with cloud data platforms such as Microsoft Fabric, Azure SQL, Databricks, or Snowflake.
• Work with SQL, views, stored procedures, and Fabric Lakehouse or equivalent data platforms.

Microsoft Fabric (Preferred Expertise)

Hands-on experience or working knowledge of:

• Fabric Lakehouse, Delta tables, or Warehouse.
• Dataflows, pipelines, or Fabric engineering components.
• Semantic model creation and best practices within the Fabric ecosystem.
• Implement best practices in data modeling, naming conventions, and folder/report structure.
• Maintain documentation including data dictionaries, technical specifications, and lineage.
• Ensure performance optimization for large and complex datasets.

Must be able to present previous BI projects clearly, including:

• Business problem
• Approach & dataset
• BI tools used
• KPIs and insights generated
• Impact / business value delivered
• Ability to articulate design rationale and analytical decisions.

Required Skills & Experience

• 6+years of BI development experience.
• Strong proficiency in Power BI (DAX, M, data modeling, semantic modeling).
• Strong proficiency in Tableau (LOD, dashboards, story points).
• Advanced SQL skills (joins, window functions, optimization).
• Experience with Microsoft Fabric, Azure SQL, or similar modern cloud platforms.
• Experience building scalable BI models with large datasets.
• Experience with end-to-end BI project lifecycle.
• Strong understanding of business domains such as sales, finance, supply chain, operations, or BFSI.
• Ability to convert business questions into analytical problems.

Preferred Qualifications

• Microsoft Certified: Power BI Data Analyst (PL-300)
• Microsoft Fabric Analytics Engineer (DP-600)
• Tableau Desktop Specialist / Certified Associate
• Azure Data Engineer (optional)

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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