Software Engineer-Power BI

As a Software Engineer-Power BI at Gap Tech, your responsibilities include collaborating with Product Managers to define technical requirements, building detailed design specifications, and creating Power BI Dashboards from various business applications. You will also guide team members in using design patterns, conduct code reviews, and participate in root cause analysis to enhance our data processes. Additionally, you’ll work on continuous improvement in our coding and testing practices while engaging in exciting projects that drive the company forward.

To be considered for the Software Engineer-Power BI role at Gap Tech, you should have a graduate degree in Computer Science or a related field and at least 9-11 years of experience in a Power BI Reporting Engineer role. Strong analytical skills, experience with SQL and Spark SQL, and familiarity with cloud services like Azure are vital. A background in automation using Python scripting and experience with other reporting tools like Tableau or Micro Strategy will also be advantageous.

In the Software Engineer-Power BI role at Gap Tech, familiarity with various tools and technologies is crucial. You should have extensive experience with Power BI, including Semantic models and complex dashboard development. Additionally, a solid understanding of SQL, Spark SQL, Azure services, and related tools like GitHub and Jenkins will enhance your effectiveness. Being skilled in Python and using Linux shell for automation can also set you apart.

At Gap Tech, innovation is at the heart of what we do. As a Software Engineer-Power BI, you will have the opportunity to recommend and explore emerging technologies that can enhance our systems and processes. Collaborating with talented professionals and working in a Dev Ops team that encourages continuous development and integration ensures that innovative ideas are not only heard but also implemented.

The work culture at Gap Tech for a Software Engineer-Power BI is dynamic, collaborative, and full of opportunity. We emphasize teamwork and knowledge-sharing, encouraging engineers to mentor each other. Our environment fosters continuous learning, where your input is valued and innovation is celebrated. Join us, and you’ll be part of a forward-thinking team that uplifts each member's skills and contributions.

In your answer, highlight your hands-on experience developing dashboards and Semantic models using Power BI. Discuss specific projects where you effectively gathered requirements and turned them into actionable insights. It’s beneficial to mention how your work impacted business decisions or improved processes.

You can outline your approach to code quality, such as conducting peer reviews, using design patterns, and employing automated testing. Explain how you advocate for high-quality standards within your team and share examples of tools you use to maintain code quality metrics.

Use the STAR method (Situation, Task, Action, Result) to describe a specific challenge in analyzing data. Talk about how you applied problem-solving skills to identify the root cause, what steps you took to address the issue, and what the outcomes were.

Discuss your experience working with Agile methodologies or project management tools. Give examples of how you prioritize tasks, set realistic timelines, and collaborate with team members to ensure projects stay on track and within scope.

Share your methods for staying informed, such as following industry blogs, participating in relevant forums, attending webinars or conferences, and engaging in continuous learning through certifications or courses. Emphasize your commitment to professional development.

Highlight your communication skills and adaptability in translating complex technical concepts into understandable terms for non-technical team members. Provide examples of how you’ve successfully collaborated with stakeholders to gather requirements and provide updates.

Discuss your direct experience with Azure services and how they integrate with Power BI. Talk about specific tools you've used, such as Azure Data Factory, and how they enhance data processing and reporting capabilities in your previous roles.

Explain how you view DevOps as a methodology promoting collaboration between development and operations teams. Discuss any particular experiences you have with CI/CD pipelines and the tools you have used, such as Jenkins, to streamline deployment processes.

Mention other data visualization tools you are familiar with, like Tableau or MicroStrategy. Explain your adaptability in using different tools and your understanding of how visualization techniques can enhance data storytelling, catering to various audience needs.

Discuss your strategies for managing stress and maintaining productivity under tight deadlines. Describe specific times when you effectively prioritized tasks, communicated with teams for support, and ensured that quality was not compromised even under pressure.