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For Companies At a Glance
- Tasks: Design dynamic data models and optimise data retrieval strategies.
- Company: Join a forward-thinking tech company in Belfast, leading in data solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of an innovative team using cutting-edge technologies like Apache Spark and AWS.
- Qualifications: Experience with big data technologies and SQL is essential; GraphQL knowledge is a plus.
- Other info: This role offers both contract and full-time employment options.
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.
Regards, Anita
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 specific big data technologies mentioned in the job description, especially Apache Spark. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Brush up on your AWS skills, particularly around Infrastructure-as-Code (IaC). You could create a small project that demonstrates your ability to deploy scalable solutions using AWS services, which will make you stand out during discussions.
✨Tip Number 3
Network with professionals in the data modelling field, especially those who work with data lakes and SQL transpilers. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 4
Prepare to discuss your experience with caching and filtering techniques in detail. Think of specific examples where you've implemented these strategies to improve query performance, as this will demonstrate your practical knowledge during interviews.
We think you need these skills to ace Data Modeler (, , United Kingdom)
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly 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, SQL, and AWS in your CV. Be specific about your previous roles and projects that relate to the job description, showcasing your skills in dynamic data models and query optimisation.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job requirements. Mention your familiarity with Infrastructure-as-Code (IaC) and any experience you have with GraphQL, even if it's just a good-to-have.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly to demonstrate your expertise.
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 Technical Questions
You might face technical questions about SQL transpilers and predicate pushing. Review these concepts and think of scenarios where you've applied them to optimise query execution.
