Responsibilities
Collaborate with the other members of the Data Research Engineering Team to design, develop, and maintain web applications with a focus on both the front-end and back-end components.
Implement and enhance features for web applications using Python and Django for server-side development.
Develop RESTful APIs and integrate them with front-end components to ensure seamless data exchange and functionality.
Create and maintain efficient and reusable code for both the back-end and front-end components of the application.
Design and implement responsive and user-friendly interfaces using NextJS, HTML and CSS. Knowledge of Angular is a plus.
Conduct testing and debugging to ensure the application functions correctly across different browsers and platforms.
Optimize web applications for maximum speed, scalability, and performance.
Participate in code reviews to maintain code quality, improve development processes, and ensure adherence to coding standards.
Stay updated with emerging technologies and industry trends to contribute innovative ideas for application enhancements.
Troubleshoot and resolve application defects and issues reported.
Collaborate with the Data Research Engineer to estimate development efforts and meet project deadlines.
Assume accountability for achieving development milestones.
Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities.
Continuously learn and expand your technical knowledge and skills to grow as a full-stack developer
Collaborate with and assist fellow members of the Data Research Engineering Team as required.
Perform tasks with precision and build reliable systems.
Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations.
Skills and Experience:
Bachelor's degree in Computer Science, Software Engineering, or a related field is desirable but not essential.
Strong proficiency in Python and experience with web framework Django.
Proficiency with front-end technologies: NextJS, HTML, and CSS. Knowledge of Angular is a plus.
Knowledge of SQL and database systems, such as PostgreSQL or MySQL
Familiarity with cloud platforms: AWS (RDS, S3, EC2 and ECS).
Familiarity with Google Cloud Platform, and big data technologies is a plus.
Knowledge of RESTful API development and integration.
Understanding of web development principles, including responsive design, cross-browser compatibility, and accessibility.
Experience with version control systems, such as Git, for collaborative development.
Strong problem-solving and analytical skills with attention to detail.
Creative and critical thinking.
Ability to work collaboratively in a team environment.
Good and effective communication skills.
Eagerness to learn and adapt to new technologies and frameworks.
Familiarity with Agile development methodologies is a plus.
Experience with other back-end technologies, such as Node.js or Flask, is a plus.
Ideally, familiarity with Knime or similar tools for data integration and analysis.
Familiarity with Python modules such as Pandas, SQLAlchemy, gspread, PyDrive, and Plotly is a plus.
Familiarity with Docker containers or similar technologies is a plus.
Strong willingness to learn and expand knowledge in data engineering.
Ability to thrive in a fast-paced environment with rapidly changing priorities.
Comfortable with autonomy and ability to work independently.
Bachelor's degree in Computer Science, Software Engineering, or a related field is desirable but not essential.
All your information will be kept confidential according to EEO guidelines.
