Job Description:Bill Rate: $ 60-62
Location: ONSITE- Phoenix,AZ
Duration: 6 month
Role Title: Power BI Engineer / Developer
Description:
"Power BI & Business Intelligence
• Design, develop, and maintain enterprise-grade Power BI dashboards, reports, and semantic models.
• Build intuitive interactive visualizations that translate complex datasets into actionable business insights.
• Develop advanced DAX calculations and business logic; use Power Query / M for transformation, cleansing, and
preparation.
• Configure and optimize semantic models, RLS, Import/DirectQuery/composite models, incremental refresh, and data
gateways.
• Establish reusable reporting standards, templates, KPI definitions, and visualization best practices.
• Support deployment and lifecycle management across development, testing, and production; troubleshoot report, refresh,
gateway, semantic-model, and performance issues.
Data Engineering
• Design, build, and maintain scalable ETL/ELT pipelines supporting analytics and reporting.
• Integrate data from databases, APIs, files, cloud platforms, and enterprise applications.
• Develop optimized SQL queries, stored procedures, views, and transformation logic.
• Build and maintain data warehouse, data lake, and/or lakehouse solutions.
• Implement data cleansing, transformation, validation, reconciliation, and quality-control processes.
• Develop reusable pipelines/frameworks using Python, PySpark, SQL, and cloud-native services.
• Implement monitoring, error handling, logging, alerting, and operational support for pipelines.
• Optimize large datasets and processing workloads for performance, reliability, and cost efficiency.
• Support metadata, lineage, governance, data-quality, CI/CD, and version-control practices.
Collaboration & Delivery
• Partner with business stakeholders, analysts, data engineers, and technology teams to transform complex data into
reliable, governed, actionable insights.
• Balance business requirements with scalable technical design and document architectures, data models, business rules,
and operational processes.
• Work effectively in Agile and cross-functional environments and communicate technical concepts to technical and non-
technical stakeholders.
• Deliver end-to-end analytics products from source ingestion and transformation through semantic modeling and executive-
ready Power BI reporting."
KEYWORDS
"Strong stakeholder management and requirements gathering; cross-functional collaboration; analytical problem solving;
clear technical/non-technical communication; Agile delivery; attention to data accuracy, security, governance, scalability, and
maintainability."
EXPERIENCE_RANGE_IN_REQUIRED_SKILLS
5-8 Years
Role Descriptions: Power BI & Business Intelligence Strong hands-on experience with Microsoft Power BI Desktop and Power BI Service. Advanced proficiency in DAX| Power Query / M| SQL| semantic models| relationships| filter context| security| refresh strategies| and performance optimization. Design efficient star/snowflake schemas| dimensional models| reusable semantic layers| and enterprise reporting standards. Implement Row-Level Security (RLS)| data-access controls| Import| DirectQuery| composite models| incremental refresh| and gateways. Experience with Power BI REST APIs| Tabular Editor / DAX Studio| and Microsoft Fabric is highly desirable.Data Engineering & Analytics Design and develop scalable ETL/ELT pipelines and integrate structured/semi-structured data from databases| APIs| files| cloud platforms| and enterprise applications. Strong SQL skills including complex queries| stored procedures| views| transformation logic| and workload optimization. Strong understanding of data warehouses| dimensional modeling| data lakes| and lakehouse architectures. Hands-on experience with Python / PySpark and cloud-native data services. Experience with at least one major cloud data ecosystem| preferably Microsoft Azure. Desirable technologies: Azure Data Factory| Azure Synapse Analytics| Azure Databricks| Microsoft Fabric Data Factory / Data Engineering| OneLake / Lakehouse| Delta Lake| SQL Server / Azure SQL| Snowflake.DevOps| Governance & Quality Git/version control and CI/CD concepts using Azure DevOps / GitHub and deployment pipelines. Data lineage| metadata management| data-quality frameworks| role-based access| and data security. Strong analytical| troubleshooting| stakeholder-management| requirements-gathering| and documentation skills. Ability to diagnose performance bottlenecks across SQL| pipelines| semantic models| and Power BI reports.Roles & ResponsibilitiesPower BI & Business Intelligence Design| develop| and maintain enterprise-grade Power BI dashboards| reports| and semantic models. Build intuitive interactive visualizations that translate complex datasets into actionable business insights. Develop advanced DAX calculations and business logic; use Power Query / M for transformation| cleansing| and preparation. Configure and optimize semantic models| RLS| Import/DirectQuery/composite models| incremental refresh| and data gateways. Establish reusable reporting standards| templates| KPI definitions| and visualization best practices. Support deployment and lifecycle management across development| testing| and production; troubleshoot report| refresh| gateway| semantic-model| and performance issues.Data Engineering Design| build| and maintain scalable ETL/ELT pipelines supporting analytics and reporting. Integrate data from databases| APIs| files| cloud platforms| and enterprise applications. Develop optimized SQL queries| stored procedures| views| and transformation logic. Build and maintain data warehou
Essential Skills: Power BI & Business Intelligence Strong hands-on experience with Microsoft Power BI Desktop and Power BI Service. Advanced proficiency in DAX| Power Query / M| SQL| semantic models| relationships| filter context| security| refresh strategies| and performance optimization. Design efficient star/snowflake schemas| dimensional models| reusable semantic layers| and enterprise reporting standards. Implement Row-Level Security (RLS)| data-access controls| Import| DirectQuery| composite models| incremental refresh| and gateways. Experience with Power BI REST APIs| Tabular Editor / DAX Studio| and Microsoft Fabric is highly desirable.Data Engineering & Analytics Design and develop scalable ETL/ELT pipelines and integrate structured/semi-structured data from databases| APIs| files| cloud platforms| and enterprise applications. Strong SQL skills including complex queries| stored procedures| views| transformation logic| and workload optimization. Strong understanding of data warehouses| dimensional modeling| data la
