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- Tasks: Rewrite a big data analytics engine using Rust, Polars, and ndarray.
- Company: Join a forward-thinking tech company focused on big data solutions.
- Benefits: Competitive pay, flexible hours, and opportunities for skill enhancement.
- Why this job: Make a real impact by optimising data processing in a cutting-edge project.
- Qualifications: Strong Rust programming skills and experience with data processing libraries required.
- Other info: Contract role lasting 3 to 6 months with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for skilled Rust developers to assist in rewriting a big data analytics engine using Polars and ndarray. The ideal candidate will have a strong background in Rust programming and experience with data processing libraries. Your primary responsibility will be to optimize and enhance our existing codebase, ensuring efficient data handling and performance improvements. If you are passionate about Rust and have experience with big data frameworks, we would love to hear from you.
Contract duration of 3 to 6 months.
Mandatory skills:- Python
- Data Science
- Scala
- Machine Learning
- API
Rust Developer for Big Data Analytics Engine Rewrite employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Rust Developer for Big Data Analytics Engine Rewrite
✨Tip Number 1
Network like a pro! Reach out to fellow Rust developers and data enthusiasts on platforms like LinkedIn or GitHub. Engaging with the community can lead to hidden job opportunities and valuable insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Rust projects, especially those related to big data analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Rust knowledge and data processing libraries like Polars and ndarray. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about Rust and big data. Your next opportunity could be just a click away!
We think you need these skills to ace Rust Developer for Big Data Analytics Engine Rewrite
Some tips for your application 🫡
Show Off Your Rust Skills: Make sure to highlight your experience with Rust programming in your application. We want to see how you've used Rust in past projects, especially if it relates to data processing or big data frameworks.
Talk About Your Data Experience: Since we're rewriting a big data analytics engine, it's crucial to mention any experience you have with data processing libraries like Polars and ndarray. Share specific examples of how you've optimised code for performance in your previous roles.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for this role.
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 FreelanceJobs
✨Know Your Rust Inside Out
Make sure you brush up on your Rust programming skills before the interview. Be prepared to discuss your previous projects and how you've used Rust in data processing. Familiarity with Polars and ndarray will definitely give you an edge!
✨Showcase Your Data Processing Experience
Since the role involves optimising a big data analytics engine, be ready to talk about your experience with data processing libraries. Highlight any specific projects where you've improved performance or handled large datasets effectively.
✨Brush Up on Related Technologies
Don’t forget to review your knowledge of Python, Scala, and Machine Learning concepts. The interviewers might ask how these technologies integrate with Rust in the context of big data, so having examples ready will show your versatility.
✨Prepare for Technical Questions
Expect some technical questions or coding challenges during the interview. Practise solving problems related to data handling and performance optimisation in Rust. This will not only demonstrate your skills but also your problem-solving approach.
