Power BI Data Engineer
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Job Description
Power BI Data Engineer building Azure data pipelines, dimensional models, and executive dashboards for Legence. Transforming complex data into actionable business intelligence across the full BI lifecycle.
Responsibilities:
- Create sophisticated Power BI dashboards and reports that drive business decisions
- Develop advanced DAX calculations, measures, and calculated columns
- Design user-friendly interfaces with custom visuals, drill-through capabilities, and interactive features
- Implement bookmarks, parameters, field parameters, and dynamic formatting
- Build composite models using aggregations, incremental refresh, and query folding
- Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data Factory
- Develop and optimize star-schema, snowflake-schema, and other dimensional data models
- Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms
- Write and optimize complex SQL queries, stored procedures, and database functions
- Establish data governance frameworks, data quality checks, validation rules, and documentation standards
- Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control
- Implement row-level security and object-level security
- Optimize report performance through query optimization, data model refinement, and DAX tuning
- Integrate Power BI with SQL databases, APIs, SharePoint, Excel, and cloud platforms
- Automate data refresh schedules and monitor gateway configurations
- Interact directly with end users regarding requirements, testing, and implementation
- Build solutions from the ground up and own the full BI development lifecycle
Requirements:
- 3+ years of hands-on experience with Power BI development (Desktop, Service, and Report Server)
- Expert-level proficiency in DAX (Data Analysis Expressions) and Power Query (M language)
- Strong SQL skills with experience in database design, query optimization, and performance tuning
- Solid understanding of data warehousing concepts, dimensional modeling, and ETL principles
- Experience with data visualization best practices and UI/UX design principles
- Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric)
- Deep understanding of data modeling techniques and relationships, including one-to-many, many-to-many, and bi-directional relationships
- Strong grasp of statistical concepts and analytical methodologies
- Ability to translate complex business requirements into technical data solutions
- Experience with data quality assessment and data profiling
- Proven ability to create visually compelling, executive-level dashboards and reports
- Strong problem-solving skills with a hands-on, solution-oriented approach
- Excellent communication skills to explain technical concepts to non-technical stakeholders
- Detail-oriented with commitment to code quality and documentation
- Demonstrated ability to use AI and automation in software engineering
- Bachelor's degree in Computer Science or Computer Information Systems is preferred
- Microsoft certifications PL-300, DP-203, or DP-500 are preferred
- Experience with Python or R for advanced analytics integration is preferred
- Familiarity with Git/Azure DevOps for version control and CI/CD pipelines is preferred
- Knowledge of DAX Studio and other Power BI development tools is preferred
- Experience with Power BI Embedded or custom API development is preferred
- Understanding of data science concepts and predictive analytics is preferred
- Portfolio of impressive Power BI dashboards demonstrating design excellence and technical complexity
- Track record of optimizing poorly performing reports and data models
- Experience mentoring others in Power BI development and best practices
- Contributions to the Power BI community, such as blog posts, speaking engagements, or open-source projects
Benefits:
- Potential eligibility for participation in a discretionary bonus plan based on company and individual performance
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