This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves developing, designing, and maintaining Power BI dashboards, reports, and data visualizations based on business requirements. - Build efficient data models (star schema, semantic models) using Power BI and Microsoft Fabric components. - Work with Microsoft Fabric features such as Lakehouse, Data Engineering pipelines, Dataflows Gen2, and Warehouse where applicable. - Optimize datasets, visuals, DAX queries, and report performance. - Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable reporting solutions. - Ensure data accuracy, governance, and compliance with organizational standards. - Troubleshoot issues related to datasets, refresh failures, permissions, and report performance. - Support the modernization of analytics platforms and the adoption of Microsoft Fabric within the KPMG ecosystem. Qualifications - A minimum of three years of experience as a Power BI Developer (or similar analytics role). - Strong proficiency in: - Power BI Desktop - Power BI Service (Workspaces, Gateways, Deployment Pipelines) - DAX (advanced level) - Power Query (M Language) - Hands-on experience in Microsoft Fabric, including at least one of the following: - Lakehouse - Data Engineering / Pipelines - Dataflows Gen2 - Warehouse - Strong understanding of data modeling, relational & dimensional modeling concepts. - Experience working with large datasets and optimizing report performance. - Ability to work independently, communicate clearly, and collaborate with cross-functional teams. Requirements - Experience with Azure data ecosystem (Azure Data Lake, Synapse, Databricks, ADF). - Background supporting enterprise analytics for finance, audit, or consulting environments. - Familiarity with CI/CD for Power BI and governance best practices.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Deltek’s Enterprise Data & Intelligence organization is seeking a forward-thinking Semantic Developer to define and scale the enterprise semantic layer that powers trusted analytics, AI enablement, and operational decision-making across the company. This role operates at the intersection of business strategy, data architecture, and analytics engineering, designing and operationalizing enterprise-grade semantic models in Snowflake and Power BI. The Semantic Developer acts as both architect and translator, partnering with business leaders, analysts, data engineers, and AI teams to ensure the enterprise data cloud reflects a common language and supports scalable analytics and AI innovation. - Build and maintain semantic views in Snowflake as the foundation for Power BI semantic models. - Design and develop enterprise-grade semantic models in Power BI aligned with business requirements and analytics needs. - Collaborate with Data Engineering teams to ensure optimal data pipeline architecture and integration with semantic layers. - Establish and enforce best practices for semantic model design, including naming conventions, relationships, and calculation logic. - Serve as the primary liaison between business users, data strategists, technical teams, and decentralized development teams. - Partner closely with business stakeholders to understand reporting and analytics requirements. - Facilitate productive dialogue between technical and non-technical teams, ensuring all voices are heard and understood. - Translate business needs into technical specifications and vice versa. - Identify opportunities where semantic model improvements can drive business value and competitive advantage. - Design and deliver workshops to educate business users on leveraging the semantic layer for self-service analytics. - Create comprehensive documentation and training materials for semantic model usage. - Provide ongoing support and guidance to users adopting self-service reporting practices. - Develop governance frameworks that empower users while maintaining data integrity and security. - Integrate the Snowflake semantic layer with downstream BI tools, including Power BI. - Support Snowflake Cortex Analyst capabilities, enabling natural language querying on governed semantic models. - Implement DAX calculations, measures, and KPIs to support business intelligence needs. - Optimize model performance and ensure scalability as data volumes grow. - Maintain version control and documentation for all semantic model components. Qualifications - 3-5 years of hands-on experience with Power BI development, with significant focus on semantic model design. - Proven experience working with Snowflake, including creating and optimizing semantic views. - Strong understanding of data pipelines and ETL/ELT processes. - Proficiency in DAX (Data Analysis Expressions) and M Query language. - Experience with data modeling concepts including star schema, snowflake schema, and dimensional modeling. - Demonstrated ability to work collaboratively with business stakeholders and translate requirements into technical solutions. - Experience conducting user training sessions and workshops. - Strong documentation and communication skills. - Ability to explain complex technical concepts to non-technical audiences. - Understanding of data governance and security best practices. - Experience with version control systems and development lifecycle management. - Ability to manage multiple priorities and work independently in a fast-paced environment. - Exceptional interpersonal and communication skills, including active listening and synthesizing diverse perspectives. - Experience facilitating meetings, workshops, and training sessions with groups ranging from 5-50+ participants. - Demonstrated business acumen with ability to understand industry trends, business metrics, and organizational objectives. - Comfortable navigating ambiguity and mediating between competing priorities. Preferred Qualifications - Experience with Cloud data platforms. - Experience with other BI tools or data visualization platforms. - Knowledge of SQL and database design principles. - Familiarity with Agile/Scrum methodologies. - Certification in Power BI or related Microsoft technologies. - Experience with data governance frameworks and metadata management. Compensation Info The U.S. salary range for this position is $72,000.00-$130,000.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity. Benefits - Employees have access to healthcare benefits. - 401(k) plan and company match. - Paid vacation time and holidays. - Well-living programs. - Short-term and long-term disability coverage. - Basic life insurance. - Tuition reimbursement.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves developing and maintaining ETL processes using Snowflake. - Develop and maintain ETL processes using Snowflake - Design and implement data models and schemas in Snowflake - Optimize and tune Snowflake queries for performance - Collaborate with data analysts and business stakeholders to understand data requirements - Ensure data quality and integrity across the Snowflake environment Qualifications - Bachelor’s degree in Computer Science, Data Science, or a related field - At least 9 years of experience working with Snowflake - Strong SQL skills and experience with data warehousing concepts - Experience with ETL tools and processes - Knowledge of cloud platforms (AWS, Azure, GCP) is a plus Requirements - Strictly no C2C / 1099 / third-party companies; all roles are W2 only - Coding test is required for every role - At least 3 to 5 years of real-time experience preferred Company Description Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and high-performance applications.

• Design and develop ETL pipelines using Oracle Integration Cloud (OIC), Informatica, Talend, or equivalent middleware tools to transform extracted legacy HR data into Oracle Fusion HCM HDL and HSDL load file formats • Build data transformation rules that map legacy data values (codes, descriptions, hierarchies) to Oracle Fusion HCM reference data, value sets, and lookup values for each agency migration • Develop data cleansing pipelines that identify and remediate data quality issues including missing required fields, invalid date formats, duplicate records, and referential integrity violations before target system loading • Design and implement batch processing frameworks capable of handling large-volume agency migrations ranging from small to very large agency employee populations with configurable parallelism and restart/recovery capabilities • Build comprehensive error handling and exception management within ETL pipelines including error categorization, automated retry logic, and error reporting dashboards for migration teams • Develop data reconciliation processes that compare source record counts, key data element values, and business rule validations between legacy extracts, transformation outputs, and target system loaded records • Create and maintain data quality dashboards providing real-time visibility into migration pipeline status, error rates, data completeness metrics, and reconciliation results for each agency migration wave • Design reusable transformation templates and parameterized mapping configurations that accelerate successive agency migrations by leveraging patterns from completed migrations • Collaborate with legacy system export developers (PeopleSoft/EBS team) to define extraction file formats, handoff procedures, and data interface specifications • Support iterative mock migration cycles (typically 3-4 per agency) and final cutover data loads, optimizing pipeline performance and resolving data quality issues identified in each cycle • Document ETL design specifications, transformation rules, data flow diagrams, and operational runbooks for each agency migration in accordance with SAFe Agile artifact standards • Apply established methods, standards, and practices to independently resolve functional and technical issues of moderate scope, contributing to team knowledge bases and consulting with senior staff on complex or unfamiliar problems as they arise • Communicate effectively with project team members and direct stakeholders to report progress, explain technical approaches, and support collaborative problem-solving within assigned workstreams and Agile Release Train ceremonies