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- Tasks: Develop and maintain Python APIs for effective data management.
- Company: Leading technology firm with a remote and collaborative team.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact on housing price data management.
- Qualifications: Bachelor's degree in Computer Science and proficiency in Python and cloud technologies.
- Other info: Ideal for problem solvers who thrive in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm is looking for a Database Developer to join their remote team. The role involves the development and maintenance of Python APIs, using AWS services to manage housing price data effectively.
Candidates should have a Bachelor's degree in Computer Science with proficiency in Python and cloud technologies, offering a collaborative and problem-solving approach to data management.
Remote Python Developer — Data Extraction in Coventry employer: Sannik
Contact Detail:
Sannik Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Python Developer — Data Extraction in Coventry
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Python or AWS. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially any related to data extraction or cloud services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common Python and AWS interview questions, and be ready to discuss your problem-solving approach. Practising with a friend can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Remote Python Developer — Data Extraction in Coventry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with AWS. We want to see how you’ve tackled similar challenges in the past, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your passion for data management and how your collaborative approach aligns with our team’s values. Let us know why you’re excited about this role!
Showcase Your Problem-Solving Skills: In your application, give us examples of how you've solved complex problems using Python. We love candidates who can think outside the box and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Sannik
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python APIs and any projects you've worked on that involved data extraction. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with AWS
Since the role involves using AWS services, it’s crucial to understand how they work. Review the specific AWS tools relevant to data management and be prepared to explain how you've used them in past projects or how you would approach using them in this role.
✨Showcase Your Problem-Solving Skills
This position requires a collaborative and problem-solving mindset. Think of examples from your previous work where you faced challenges and how you overcame them. Be ready to discuss your thought process and the impact of your solutions.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the company culture, and the specific challenges they face with housing price data. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
