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.