Data Warehouse Specialist

As a Data Warehouse Specialist at We Cook iT, your primary responsibilities will include managing data quality, implementing data lineage and observability frameworks, and ensuring compliance with GDPR and other regulations. You will develop metadata management systems and create data security policies, while also contributing to ethical AI frameworks and participating in risk management initiatives.

To be a strong candidate for the Data Warehouse Specialist position at We Cook iT, you should hold a Bachelor's degree in a relevant field and have proven experience in data governance or business intelligence. Proficiency in SQL, NoSQL, ETL tools, and a solid understanding of compliance standards like GDPR and the AI Act is essential for this role.

At We Cook iT, we are dedicated to the professional growth of our employees, particularly for roles like the Data Warehouse Specialist. We provide training opportunities, encourage participation in cutting-edge projects, and support career advancement through continuous learning and team collaboration.

As a Data Warehouse Specialist at We Cook iT, you should be skilled in various technologies including SQL, NoSQL databases, and ETL tools. Familiarity with data warehouse design and the implementation of compliance standards and data security protocols is also crucial for ensuring the effectiveness and integrity of data processes in this role.

The work environment for a Data Warehouse Specialist at We Cook iT is collaborative and innovative. You'll be part of a dynamic team that values communication and supports each other in achieving common goals, all while working on revolutionary data solutions and playing a pivotal role in large-scale projects across Europe.

When answering this question, highlight specific situations where you've developed or implemented data governance frameworks. Include details about the tools and methodologies you used and how your contributions improved data quality or compliance.

Be specific about the ETL tools you've worked with, such as Talend or Informatica, and describe projects where you've used them to successfully extract, transform, and load data, demonstrating your technical capabilities.

Discuss the strategies you've employed to ensure GDPR compliance in data handling, such as privacy assessments, data mapping, and maintaining transparent records of data processing activities.

Define data lineage and explain how it helps organizations track the flow of data through systems. Provide examples of how you've implemented data lineage frameworks and the benefits they brought in terms of data integrity and quality assurance.

Outline your approach to data quality monitoring, including the metrics and dashboards you rely on, and discuss instances where you identified and resolved data quality issues proactively.

Describe your conflict resolution skills and how you would gather inputs from different stakeholders, weigh their requirements, and negotiate a solution that aligns with data security policies and compliance.

Share your knowledge of data encryption techniques, access control procedures, and how you've enforced data security policies during project implementations to protect sensitive information.

Walk the interviewer through the challenges you faced, the solutions you implemented, and the project's outcome. Highlight your problem-solving skills and adaptability in overcoming obstacles.

Discuss current trends in data warehousing, such as the rise of cloud solutions or real-time data processing, and how they impact AI governance. Engage the interviewer by sharing your views on how these trends could influence future data management practices.

Detail the resources you rely on, such as professional journals, webinars, and industry conferences. Convey your commitment to continuous professional development and how it contributes to your effectiveness in the Data Warehouse Specialist role.