Azure Data Warehouse Developer

As an Azure Data Warehouse Developer at Mindful Support Services, you'll be deeply involved in designing, developing, and maintaining our data warehouse to enhance business intelligence initiatives. Your responsibilities will include collaboration with various teams to gather business requirements, optimizing data solutions, and ensuring data integrity and performance across our Azure-based BI tools. You're essentially the key to driving data-driven decisions within the organization.

To succeed as an Azure Data Warehouse Developer at Mindful Support Services, you'll need a bachelor’s degree in computer science or a related field, alongside 4-5 years of data warehouse development experience. It's crucial that you have a strong background in SQL development and experience with Azure services including Data Factory and Synapse. Additionally, familiarity with healthcare data standards is highly preferred since our focus is on enhancing mental healthcare services.

To increase your chances of securing the Azure Data Warehouse Developer role at Mindful Support Services, it's essential to master SQL and data warehousing concepts, particularly in cloud environments like Azure. Skills in tools like Power BI for creating self-service BI solutions, along with knowledge in ETL/ELT processes, DAX, and data modeling techniques, will set you apart. Also, relevant certifications can enhance your profile, showcasing your commitment to professional growth in this area.

Collaboration is key for the Azure Data Warehouse Developer at Mindful Support Services. You'll work with cross-functional teams to deeply understand their data needs, ensuring that the solutions you develop align with organizational goals. This inclusive approach helps foster a productive environment where innovative ideas can flourish and ultimately enhances the business’s capacity to deliver quality mental healthcare services.

At Mindful Support Services, the career growth opportunities for Azure Data Warehouse Developers are significant. With our commitment to professional development, you'll find various pathways to enhance your skills, possibly moving towards senior roles or specialized positions in data engineering or architecture. Regular performance evaluations also lead to opportunities for advancement and potentially greater compensation as you gain experience and contribute to our mission.

When discussing your experience with Azure Data Services, focus on the specific projects you've worked on. Detail how you utilized Azure Data Lake Storage and Azure Data Factory to create effective data pipelines. Highlight any challenges you faced and how you overcame them to demonstrate problem-solving skills and deep technical knowledge.

To answer effectively, describe your methodical approach to optimizing SQL queries. Discuss strategies like using indexes, refining query syntax, and analyzing execution plans. Provide examples from past projects where your optimizations significantly improved performance, showcasing your analytical capabilities.

When answering this question, emphasize your focus on data integrity and validation checks. Describe how you implement automated testing processes and monitoring tools to catch data anomalies. Highlight specific scenarios where your focus on data quality led to successful project outcomes.

Discuss your hands-on experience with ETL processes. Highlight specific tools you have used, such as Azure Data Factory, and outline the steps you take during the ETL pipeline development, including extraction from various sources, transformation protocols, and loading into the target data warehouse. Share successful ETL projects that you completed.

Share a specific example where collaboration with a cross-functional team led to successful project execution. Focus on how you communicated technical concepts to non-technical stakeholders and how the feedback helped you refine the data solutions you provided.

Mention the BI tools you've utilized, particularly emphasizing your experience with Power BI. Describe how you've used these tools to create dashboards and reports that drove strategic decision-making. Providing specific examples of user feedback can further illustrate your impact on the business.

Discuss your understanding of healthcare data standards and regulations, particularly HIPAA. Emphasize any previous experience working with sensitive data in a healthcare setting, ensuring compliance while developing data solutions that support the organization's goals.

Explain your proactive approach to keeping your skills current. Discuss specific resources you utilize, such as online courses, webinars, or participation in the tech community. Highlight any recent technologies you’ve adopted and how they have benefited your work.

Share a specific challenge you encountered in your role and relate it to a project. Describe the strategies you employed to overcome it, the stakeholders involved, and the ultimate positive outcome. This demonstrates your problem-solving skills and resilience.

When answering, share your passion for mental healthcare and how data solutions can improve patient outcomes. Discuss what attracts you to Mindful Support Services, such as their mission or innovative culture, to convey genuine interest in the position.