About Us:Datoz is Mexico's premier commercial real estate data and analytics resource. Through continuous research and a comprehensive online platform, Datoz provides accurate and consistent intelligence to leading property developers, brokerage agencies, investment institutions, tenants, and a variety of service providers.
Job Description: We are looking for a skilled Mid-Level Full Stack Developer to join our dynamic team. The ideal candidate will have at least 3 years of experience working with NodeJS, React, Postgres, Typescript, and CSS. As a Full Stack Developer at Datoz, you will play a crucial role in developing and maintaining our cutting-edge online platform that delivers valuable real estate data and analytics to our clients.
Key Responsibilities:Develop, test, and maintain scalable web applications using NodeJS, React, Postgres, Typescript, and CSS.Collaborate with cross-functional teams to define, design, and ship new features.Optimize applications for maximum speed and scalability.Participate in code reviews, ensuring adherence to best practices and coding standards.Troubleshoot and debug issues across the full stack, from the front-end to the database.Contribute to the continuous improvement of the development process and tools.Work closely with the product team to understand user needs and translate them into technical requirements.
Qualifications:At least 3 years of professional experience as a Full Stack Developer.Strong proficiency in NodeJS, React, Postgres, Typescript, and CSS.Experience with RESTful APIs and integrating front-end components with back-end services.Solid understanding of responsive design, web standards, and cross-browser compatibility.Familiarity with version control systems, such as Git.Ability to write clean, well-documented, and efficient code.Strong problem-solving skills and attention to detail.Excellent communication and teamwork abilities.
Nice to Have:Experience with cloud services like AWSExperience with PythonFamiliarity with Agile development methodologies.Understanding of commercial real estate or data analytics industries.