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.