Senior Data Warehouse Engineer - job 1 of 2

As a Senior Data Warehouse Engineer at Shearer’s, you will be responsible for designing, developing, and maintaining data warehouse solutions. This includes creating data models, managing ETL processes, and integrating Power BI for analytics. Your role will also encompass ensuring data quality, developing dashboards, and collaborating with various teams to meet business intelligence needs.

To qualify for the Senior Data Warehouse Engineer position at Shearer’s, you should possess a Bachelor’s or Master’s degree in Computer Science or a related field, along with 5-10 years of experience in data modeling and engineering. Proficiency in SQL, Power BI, ETL processes, and a strong analytical background will also be critical to your success in this role.

At Shearer’s, we are committed to fostering a culture of continuous learning and professional development. As a Senior Data Warehouse Engineer, you will have opportunities to work with cutting-edge technologies and take part in training programs, workshops, and community volunteering that enhance both your technical skills and personal growth.

In your role as a Senior Data Warehouse Engineer at Shearer’s, you will work with various technologies including Microsoft SQL Server, Power BI, Azure Data Lake, and other data warehousing solutions. Familiarity with cloud-based platforms, and tools like Databricks and Boomi Integration software will further enhance your contributions.

The company culture at Shearer’s is centered on collaboration, innovation, and inclusivity. As a Senior Data Warehouse Engineer, you will be part of a supportive environment that values diverse perspectives, encourages team collaboration, and recognizes individual contributions towards our shared success.

When discussing your experience with Power BI, focus on specific projects where you developed dashboards or semantic models. Highlight the business impact of your work, explaining how your insights drove decision-making and facilitated communication across teams.

Detail the ETL processes you've designed and managed, emphasizing the tools and methodologies used, like SQL Server Integration Services or custom scripts. Discuss specific challenges you faced and how you ensured data integrity and efficiency in your workflows.

To ensure data quality, I implement regular validation checks, create comprehensive documentation, and utilize automated monitoring tools. Sharing examples of how you've tackled data quality issues or utilized best practices will illustrate your proactive approach to data management.

Collaboration is key in my approach; I prioritize open communication and actively seek feedback from cross-functional teams. Share specific experiences where successful collaboration led to impactful outcomes or reinforced stakeholder relationships.

In your response, discuss specific data modeling techniques, such as star or snowflake schemas, that you’ve employed. Highlight any tools you’ve used and how your designs have facilitated efficient data retrieval and analysis.

Discuss your familiarity with platforms like Azure or AWS, providing examples of projects where you migrated on-premises solutions to the cloud. Explain how you addressed scalability and performance challenges in cloud environments.

I regularly follow leading publications, attend industry conferences, and participate in online communities. Mention any specific trends you've adopted or how they've influenced your work, particularly in the context of Shearer’s needs.

When explaining KPIs, mention metrics related to data quality, performance, and user adoption rates. Discuss how these indicators inform continuous improvement initiatives and align with the company’s objectives.

In the event of a data-related crisis, I’d prioritize rapid assessment followed by transparent communication with stakeholders. Describe how you would identify the root cause and implement a robust solution to prevent future occurrences.

Reflect on specific challenges such as data integration issues, project deadlines, or technology transitions. Discuss the steps you took to overcome these obstacles, showcasing your problem-solving skills and resilience.