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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 organization that thrives on innovation and creativity.
- Benefits: Work in a dynamic environment with opportunities for growth and collaboration.
- Why this job: Be at the forefront of data-driven decisions in a rapidly growing global company.
- Qualifications: Experience with GCP, Big Query, SQL, and Kimball methodology required.
- Other info: Submit your CV for an exciting new challenge!
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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Data Warehouse Architect employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse Architect
✨Tip Number 1
Familiarize yourself with GCP and BigQuery by exploring online tutorials or courses. This will not only boost your confidence but also demonstrate your proactive approach to learning the tools that are essential for the role.
✨Tip Number 2
Brush up on your SQL skills by practicing writing complex queries. Consider using platforms like LeetCode or HackerRank to challenge yourself and showcase your proficiency during discussions.
✨Tip Number 3
Gain a solid understanding of the Kimball methodology by reading relevant literature or case studies. Being able to discuss this methodology in detail will set you apart as a knowledgeable candidate.
✨Tip Number 4
Network with professionals in the data engineering field through LinkedIn or industry meetups. Engaging with others can provide insights into the company culture and may even lead to referrals.
We think you need these skills to ace Data Warehouse Architect
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Warehouse Architect position. Understand the key responsibilities and required skills, such as experience with GCP, Big Query, and SQL queries.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your knowledge of 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 entertainment industry. Mention specific projects or experiences that demonstrate your ability to improve and design data warehouses.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Data Science Festival
✨Showcase Your GCP Experience
Make sure to highlight your experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you utilized GCP and how it contributed to the success of the data warehouse.
✨Demonstrate SQL Proficiency
Since writing SQL queries is a key requirement, 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 and be ready to showcase your expertise.
✨Discuss Kimball Methodology
Familiarize yourself with the Kimball methodology and be ready to discuss how you've applied it in past projects. This will show your understanding of data warehousing principles and your ability to implement them effectively.
✨Collaboration is Key
Emphasize your ability to work closely with other departments. Share examples of how you've collaborated with different teams to gather requirements and ensure that the data warehouse meets their needs.
