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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 tech company in Belfast focused on big data solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of an innovative team shaping the future of 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.
Contact Detail:
Bounteous Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨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 really set you apart during interviews.
✨Tip Number 2
Brush up on your AWS skills, particularly around Infrastructure-as-Code (IaC). Consider working on 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 retrieval. Be prepared to discuss how you've implemented these strategies in past roles or projects, as this is crucial for optimising query performance.
✨Tip Number 4
If you have experience with SQL transpilers and predicate pushing, make sure to highlight it. If not, consider learning about these concepts and how they can improve query execution, as this knowledge could be beneficial in your application.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data modelling, big data technologies, and AWS. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Modeler position and how your skills align with the responsibilities listed. Mention specific projects or experiences that showcase your expertise in data lakes and query optimisation.
Showcase Technical Skills: Clearly outline your proficiency in tools and technologies mentioned in the job description, such as Apache Spark, SQL transpilers, and Infrastructure-as-Code. Provide examples of how you've used these in past roles.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Modeler.
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 techniques you used to improve query performance.
✨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 GraphQL Questions
Review your understanding of SQL transpilers and predicate pushing, as these are key to optimising query execution. If you have experience with GraphQL, be sure to mention it, as it's a nice-to-have for this position.
