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Full Stack Developer - React | Python | PySpark | DatabricksAbout the Role :We are looking for a skilled Full Stack Developer with strong hands-on experience in React.js, Python, PySpark, Databricks, and Cloud Technologies. The ideal candidate will be responsible for designing and developing scalable web applications, building robust backend services and APIs, and developing data-driven solutions using modern cloud and data platforms.You will work closely with engineering, product, and cross-functional teams to deliver secure, high-performance, and scalable end-to-end solutions.Key Responsibilities :- Design and develop responsive, scalable, and user-friendly web applications using React.js.- Develop robust backend services and REST APIs using Python.- Build data processing solutions and scalable data pipelines using PySpark.- Develop, manage, and optimize data pipelines and integrations within Databricks.- Integrate frontend applications with backend services and data platforms.- Design and implement secure, scalable, and high-performance application architectures.- Deploy, monitor, and maintain applications across AWS or Azure cloud environments.- Develop and maintain CI/CD pipelines and deployment workflows using Bitbucket.- Troubleshoot application, API, data pipeline, and performance-related issues.- Optimize application and data processing performance to ensure scalability and reliability.- Collaborate with developers, data engineers, product teams, and other stakeholders to deliver end-to-end solutions.- Participate in code reviews and ensure adherence to coding standards, security practices, and engineering best practices.- Contribute to Agile ceremonies, sprint planning, estimation, and continuous improvement initiatives.Required Skills & Experience :- Strong hands-on experience with React.js and modern frontend development.- Strong proficiency in Python for backend development and API implementation.- Hands-on experience with PySpark and distributed data processing.- Practical experience working with Databricks, including data pipelines, workflows, and integrations.- Strong understanding of REST APIs and service integration.- Experience with AWS is preferred; experience with Azure will also be considered.- Good understanding of CI/CD pipelines, Git workflows, and deployment processes.- Experience with Bitbucket for source code management and collaboration.- Strong understanding of software development lifecycle and Agile methodologies.- Good understanding of application security, scalability, performance optimization, and software engineering best practices.- Strong problem-solving and analytical skills with the ability to work effectively in a collaborative environment.Good to Have:- Experience with additional AWS/Azure data and compute services.- Experience working with modern data lake/data warehouse architectures.- Exposure to SQL and relational/non-relational databases.- Experience with containerization technologies such as Docker.- Experience working in a product-based or cloud-native environment.What Were Looking For:We are looking for someone who can work across frontend, backend, data engineering, and cloud environments and contribute to building complete, scalable solutions. The ideal candidate should be comfortable working across multiple technologies rather than being limited to a single development layer.Visit Us:Kadel LabsKadel Labs on LinkedIn (ref:hirist.tech) .
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.