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For Companies At a Glance
- Tasks: Develop scalable applications using Python, React, SQL, and Databricks.
- Company: Join a forward-thinking tech company with a vibrant culture.
- Benefits: Enjoy competitive pay, health perks, and opportunities for remote work.
- Other info: Collaborative environment with great potential for career advancement.
- Why this job: Make an impact by building innovative data-driven solutions.
- Qualifications: Strong coding skills in Python, React, SQL, and experience with Databricks.
The predicted salary is between 50000 - 70000 £ per year.
5 days onsite. FTE role. A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven applications.
Key Responsibilities
- Backend Development (Python)
- Build APIs and services using Python frameworks (Flask, FastAPI, Django).
- Integrate with Databricks SQL endpoints for data access.
- Ensure performance, scalability, and security of backend systems.
- Databricks & Data Engineering
- Develop ETL pipelines and workflows using PySpark on Databricks.
- Work with Delta Lake, Unity Catalog, and Databricks REST APIs.
- Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS).
- SQL Database Management
- Write and optimize complex SQL queries.
- Manage relational databases and integrate with Databricks.
- Perform data cleansing, transformation, and aggregation for analytics.
- Frontend Development (React)
- Design and build responsive, interactive UIs using React.js.
- Integrate frontend components with backend APIs and Databricks datasets.
- Use visualization libraries (D3.js, Plotly, Recharts) for dashboards.
- Collaboration & DevOps
- Work with cross-functional teams (data scientists, product managers, UX designers).
- Participate in CI/CD pipelines (GitHub Actions, Azure DevOps).
- Document workflows and ensure compliance with coding standards.
Python Developer in City of London employer: Dns Info Ltd
Contact Detail:
Dns Info Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python, React, and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Python Developer in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in Python, React, SQL, and Databricks. We want to see how you’ve used these technologies in past projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences that relate to backend development, data engineering, and frontend work. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if it helps convey your experience better!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Dns Info Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, React, SQL, and Databricks. Brush up on the frameworks like Flask or Django for backend development, and be ready to discuss how you’ve used them in past projects.
✨Showcase Your Projects
Prepare to talk about specific projects where you built APIs, developed ETL pipelines, or created interactive UIs. Highlight your role, the challenges you faced, and how you overcame them, especially focusing on performance and scalability.
✨Understand the Data Flow
Be ready to explain how data moves through your applications. Discuss your experience with data cleansing, transformation, and how you’ve optimised SQL queries for efficiency. This shows you understand the full lifecycle of data in applications.
✨Collaboration is Key
Since this role involves working with cross-functional teams, prepare examples of how you’ve collaborated with data scientists, product managers, or UX designers. Emphasise your communication skills and how you contribute to a team environment.