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- Tasks: Join us to transform data models for GCP and drive innovative solutions.
- Company: Be part of a forward-thinking company leading in cloud technology.
- Benefits: Enjoy flexible working options and exciting corporate perks.
- Why this job: Make an impact by shaping data strategies in a dynamic environment.
- Qualifications: Proven experience with ER Studio and Google Cloud Platform is essential.
- Other info: Opportunity to work with cutting-edge technologies and advance your career.
The predicted salary is between 48000 - 84000 £ per year.
Job Title: Data Modeller
We are seeking an experienced data modeller to assist in the migration and reimagining of on-premises applications and data models into GCP Data Products.
Key Responsibilities:
- Drive and ensure that data modelling aspects of solution design meet business requirements.
- Create conceptual data models aligned with the Enterprise Data Model.
- Develop logical data models and schemas.
- Design physical data models and schemas optimized for performance and access.
- Define mappings between physical and logical data models.
- Guide Data Models through the governance process.
- Register GCP Data Products in Collibra.
- Apply enterprise data modelling techniques such as de-normalised views and star schemas.
Key Skills, Knowledge, and Experience:
- Proficiency in ER Studio.
- Knowledge of Google Cloud Platform components like GCS buckets, BigQuery, Kafka, etc.
- Experience with advanced SQL, SSIS packages, Python, and Unix Shell scripting.
* Free services are subject to limitations.
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GCP Senior Data Modeller/Business Architect employer: Avance Consulting
Contact Detail:
Avance Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Senior Data Modeller/Business Architect
✨Tip Number 1
Familiarise yourself with GCP Data Products and their functionalities. Understanding how these products work will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the data modelling and GCP community. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable insights and potential referrals.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data modelling to showcase your expertise.
✨Tip Number 4
Prepare to discuss your experience with ER Studio and how you've applied enterprise data modelling techniques in past roles. Be ready to provide specific examples that highlight your problem-solving abilities and technical skills.
We think you need these skills to ace GCP Senior Data Modeller/Business Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the GCP Senior Data Modeller/Business Architect position. Familiarise yourself with data modelling techniques and Google Cloud Platform components mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your proficiency in ER Studio, advanced SQL, and any experience with GCP components like BigQuery and Kafka.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data modelling and your understanding of the migration process to GCP. Mention specific projects or experiences that demonstrate your ability to create conceptual and logical data models.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Avance Consulting
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in ER Studio and your experience with Google Cloud Platform components. Highlight specific projects where you've used advanced SQL, SSIS packages, Python, or Unix Shell scripting.
✨Understand the Business Requirements
Demonstrate your ability to align data modelling with business needs. Be ready to explain how you have previously created conceptual and logical data models that meet specific business objectives.
✨Familiarise Yourself with Governance Processes
Since guiding data models through the governance process is key, make sure you understand what this entails. Prepare examples of how you've navigated governance in past roles, particularly in relation to data products.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data modelling and how you optimised physical data models for performance and access.
