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- Tasks: Develop ETL data pipelines and maintain AWS data storage systems.
- Company: Join a world-renowned client known for innovation and excellence.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for growth.
- Why this job: Be part of a dynamic team driving impactful analytics and machine learning projects.
- Qualifications: 5-7 years of Python development experience and strong AWS skills required.
- Other info: Collaborate with junior developers and lead Agile sprint planning.
The predicted salary is between 48000 - 72000 £ per year.
Python Developer – Hybrid working We are working with one of our world renowned clients who are looking to recruit an experienced Python Developer. Job Responsibilities: Develop robust ETL data pipelines for large scale data into SQL and NoSQL systems Maintain and optimize AWS RDS, S3, and other data storage systems Collaborate with data analysts and data scientists to implement analytics and ML models through AWS Implement CI/CD standards and tools Oversee the work of junior developers Plan, oversee, and implement sprint plans for multiple development efforts using Agile processes Work within an AWS ecosystem, leveraging cloud services for scalable applications Develop and maintain Python-based back-end services Drive code reviews and contribute to technical documentation About You: 5-7 years of experience in Python centric development Excellent proficiency in Python and common ML oriented packages Significant experience working with AWS PostgreSQL RDS, including database design, optimization, and management Significant experience with AWS services and cloud architecture Strong understanding of database technologies (SQL and NoSQL) Expertise in machine learning concepts and data visualization techniques Strong understanding of RESTful API design an…
Python Developer - Hybrid working employer: Proactive Appointments
Contact Detail:
Proactive Appointments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Hybrid working
✨Tip Number 1
Make sure to showcase your experience with AWS services in your conversations. Since this role heavily relies on AWS, demonstrating your familiarity with RDS, S3, and cloud architecture will set you apart.
✨Tip Number 2
Prepare to discuss specific projects where you've implemented ETL data pipelines or machine learning models. Real-world examples will help illustrate your expertise and problem-solving skills.
✨Tip Number 3
Brush up on Agile methodologies and be ready to talk about your experience in planning and overseeing sprints. Highlighting your ability to work collaboratively in a team will resonate well with the hiring managers.
✨Tip Number 4
Don't forget to emphasize your code review experience and contributions to technical documentation. This shows that you value quality and knowledge sharing, which is crucial for mentoring junior developers.
We think you need these skills to ace Python Developer - Hybrid working
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python development, AWS services, and any relevant machine learning projects. Use specific examples that demonstrate your skills in developing ETL data pipelines and optimizing databases.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with Agile processes and how you have successfully collaborated with data analysts and scientists in the past.
Showcase Relevant Projects: If you have worked on projects involving AWS RDS, S3, or machine learning, be sure to include these in your application. Describe your role and the impact of your contributions to demonstrate your expertise.
Highlight Soft Skills: Since the role involves overseeing junior developers and planning sprints, emphasize your leadership and communication skills. Provide examples of how you've successfully led teams or managed projects in previous roles.
How to prepare for a job interview at Proactive Appointments
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've developed ETL data pipelines or back-end services, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate AWS Knowledge
Since the role involves working within an AWS ecosystem, make sure to brush up on your knowledge of AWS services like RDS and S3. Be ready to discuss how you've used these services in past projects and any optimizations you've implemented.
✨Understand Agile Methodologies
Familiarize yourself with Agile processes, as you'll be overseeing sprint plans. Be prepared to share your experiences working in Agile teams, including how you handle collaboration and communication with junior developers and other team members.
✨Prepare for Technical Questions
Expect technical questions related to machine learning concepts, database technologies, and RESTful API design. Brush up on these topics and think of examples from your past work that demonstrate your understanding and application of these concepts.
