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For Companies At a Glance
- Tasks: Design and improve the data warehouse while collaborating with various departments.
- Company: Join a leading entertainment organisation that thrives on innovation and creativity.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and development.
- Why this job: Be part of a creative team making impactful changes in a global company.
- Qualifications: Experience with GCP, Big Query, SQL, and Kimball methodology required.
- Other info: Submit your CV for an exciting new challenge in data engineering.
The predicted salary is between 48000 - 72000 £ per year.
Data Idols are working with one of the largest entertainment organisations growing rapidly within their global operations. With innovation, creativity, and data at the company’s heart, they are looking for a Data Warehouse Architect to join the team.
The Opportunity
As a Data Warehouse Architect you will be responsible for improvements and changes within the data warehouse. This role will sit within the Data Engineering department and you’ll have the opportunity to design the data warehouse and work closely with other departments to ensure requirements are met.
Skills and Experience
- Experience using GCP
- Experience working with Big Query
- Ability to write SQL queries
- Knowledge of Kimball methodology
- Experience of data warehouse implementation
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
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Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse Architect
✨Tip Number 1
Familiarise yourself with GCP and BigQuery by exploring online tutorials or courses. This will not only boost your confidence but also demonstrate your commitment to mastering the tools essential for the role.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with data warehousing. Attend industry meetups or webinars to gain insights and potentially get referrals.
✨Tip Number 3
Brush up on your SQL skills by working on real-world projects or challenges. Being able to showcase your ability to write efficient queries can set you apart from other candidates.
✨Tip Number 4
Understand the Kimball methodology thoroughly, as it’s a key aspect of data warehousing. Consider creating a small project that applies this methodology to demonstrate your practical understanding.
We think you need these skills to ace Data Warehouse Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP, Big Query, and SQL. Use specific examples to demonstrate your knowledge of the Kimball methodology and any previous data warehouse implementations you've been involved in.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your skills align with the company's focus on innovation and creativity within their global operations.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will help demonstrate your practical experience in data warehousing.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Warehouse Architect.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
Make sure to highlight your experience with GCP and Big Query during the interview. Be prepared to discuss specific projects where you implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your SQL Proficiency
Since writing SQL queries is a key requirement for this role, practice explaining your thought process when writing queries. You might be asked to solve a problem on the spot, so brush up on your SQL skills beforehand.
✨Understand Kimball Methodology
Familiarise yourself with the Kimball methodology, as it’s crucial for data warehouse design. Be ready to discuss how you've applied this methodology in past projects and how it can benefit the organisation's data architecture.
✨Collaborative Mindset
This role involves working closely with other departments, so emphasise your ability to collaborate effectively. Share examples of how you've successfully worked with cross-functional teams to meet project requirements and deliver results.
