Software Engineer - Power BI

Mandatory Skills: Strong verbal and written communication skills with regular status reporting and stakeholder updates. Ability to independently estimate, manage, and deliver assigned tasks within deadlines. Strong ownership, accountability, and problem-solving mindset. Good understanding of SDLC, data visualization best practices, testing, and review processes.

Ability to proactively identify risks, dependencies, and potential issues early in the development lifecycle. Ability to validate approaches, seek guidance when required, and minimize rework through effective planning and communication. Ability to proactively understand business requirements, seek clarifications, and communicate effectively with team members and clients.

Experience working in Agile development environments. Ability to mentor junior team members and contribute to knowledge-sharing initiatives.

Preferred Skills

Strong analytical, logical reasoning, and data interpretation skills. Experience conducting peer reviews and providing constructive, actionable feedback. Ability to actively participate in reviews and continuously improve based on feedback received. Good documentation and technical communication skills. Proactive approach toward continuous learning, certifications, and skill enhancement.

Ability to translate business requirements into meaningful reports, dashboards, and analytical solutions. Experience leveraging AI-assisted development tools for report development, debugging, testing, documentation, and productivity improvement. Growth mindset with a focus on continuous improvement and quality delivery.

Technical Skills: Strong experience in Power BI report, dashboard, and semantic model development. Proficiency in DAX, Power Query (M Language), and data modeling techniques. Experience with Power BI Service, workspace management, deployment, security, and governance. Strong knowledge of SQL, relational databases, and query optimization.

Experience in ETL processes, data transformation, and integrating data from multiple sources. Knowledge of data warehousing concepts, dimensional modeling, and BI best practices. Familiarity with Azure Data Services, Dataflows, and cloud-based analytics solutions. Understanding of Row-Level Security (RLS), data governance, performance optimization, testing, and troubleshooting.

Experience with Power Platform integrations, including Power Apps and Power Automate. Experience with Git, Azure DevOps, CI/CD, and source control best practices.