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For Companies At a Glance
- Tasks: Design and manage dynamic data models for efficient data retrieval.
- Company: Join a forward-thinking company in Belfast focused on innovative data solutions.
- Benefits: Enjoy flexible working options and opportunities to work with cutting-edge technologies.
- Why this job: Be part of a team that values adaptability and creativity in data processing.
- Qualifications: Experience with big data technologies and AWS is preferred.
- Other info: Contract or full-time position available, perfect for tech enthusiasts.
The predicted salary is between 36000 - 60000 £ per year.
Location: Belfast
Position Type: Contract / FTE
Key Responsibilities:
- Work with data lakes, implementing strategies for faster data retrieval and optimized processing.
- Design and manage dynamic data models, ensuring adaptability based on evolving datasets.
- Implement caching and filtering techniques to improve query performance.
- Utilize big data technologies such as Apache Spark for large-scale data processing.
- Apply AWS expertise, including Infrastructure-as-Code (IaC) for scalable deployment.
- Work with SQL transpilers and predicate pushing to optimize query execution.
- GraphQL - good to have.
Data Modeler (, , United Kingdom) employer: Bounteous
Contact Detail:
Bounteous Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler (, , United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest big data technologies, especially Apache Spark. Being able to discuss your hands-on experience or projects involving Spark can set you apart during interviews.
✨Tip Number 2
Brush up on your AWS skills, particularly around Infrastructure-as-Code (IaC). Consider creating a small project that showcases your ability to deploy scalable solutions using AWS, as this will demonstrate your practical knowledge.
✨Tip Number 3
Understand the principles of caching and filtering techniques in data processing. Be prepared to discuss how you've implemented these strategies in past roles or projects to improve query performance.
✨Tip Number 4
If you have experience with SQL transpilers and predicate pushing, make sure to highlight this in conversations. If not, consider doing some research or online courses to gain a foundational understanding before your interview.
We think you need these skills to ace Data Modeler (, , United Kingdom)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Modeler. Familiarise yourself with key concepts like data lakes, caching techniques, and big data technologies such as Apache Spark.
Tailor Your CV: Highlight your experience with data modelling, AWS, and any relevant big data technologies in your CV. Use specific examples to demonstrate your skills in optimising query performance and implementing Infrastructure-as-Code.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's needs. Mention your familiarity with SQL transpilers and GraphQL, as these are valuable assets for the position.
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 Bounteous
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data lakes and big data technologies like Apache Spark. Highlight specific projects where you've implemented strategies for faster data retrieval and optimised processing.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to design and manage dynamic data models. Prepare examples of how you've adapted your models based on evolving datasets and the challenges you faced.
✨Familiarise Yourself with AWS and IaC
Since AWS expertise is crucial for this role, brush up on your knowledge of Infrastructure-as-Code (IaC). Be ready to explain how you've used these tools in previous roles to achieve scalable deployment.
✨Prepare for SQL and Query Optimisation Questions
Understand SQL transpilers and predicate pushing techniques, as these are key to optimising query execution. Be ready to discuss how you've applied these concepts in real-world scenarios.
