Full Stack Developer

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Building the user interface (UI) with HTML, CSS, and JavaScript frameworks. This ensures a visually appealing and interactive user experience.
• Creating the server-side logic using programming languages like Python, Java, or Node.js. This focuses on data processing, business rules, and interaction with databases.
• Designing and building APIs (Application Programming Interfaces) that facilitate communication between the front-end and back-end components, and potentially external systems.
• Setting up and managing databases to store and retrieve application data efficiently.
• Implementing unit tests, integration tests, and user acceptance testing (UAT) to identify and fix bugs throughout the development process.
• Deploying the application to a production environment and maintaining its functionality by fixing bugs, adding new features, and ensuring security updates
• Collaborate with cross-functional teams such as data engineers, business analysts, and decision-makers to understand requirements and deliver insights.
• Perform other duties as assigned.

Requirements

REQUIRED:

• Bachelor's Degree in Data Science, IT, Computer Science, Statistics, Engineering or equivalent fields.
• Design, develop, and maintain the entire application stack, giving them a deep understanding of how all the pieces work together. This makes them a single point of contact for technical discussions and troubleshooting.
• Versatility and ability to bridge the gap between front-end and back-end development. This makes them valuable assets in building and maintaining web applications.
• Their broad knowledge allows them to propose efficient and integrated solutions, considering both user experience and server-side functionality.
• Work autonomously on projects, minimizing reliance on separate front-end and back-end specialists. This streamlines development and reduces communication overhead.

PREFERRED:

• Familiarity with Business Intelligence tools, Machine Learning concepts, and Big Data platforms is a plus.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. Hadoop, Amazon Redshift, MPP Presto, Hive, ActiveScale, and S3 experience will be highly beneficial. Otherwise, passion to learn these new technologies is essential.
• Experience in Docker, the leading containerization platform, including building Docker images for data science applications, ensuring reproducibility and portability of environments. Managing Docker containers and orchestrating multi-container application

SKILLS:

• Python or other coding language
• Front-End and Back-end Frameworks
• UI/UX Design Principles
• Databases & APIs
• Strong written and verbal communication in English
• Strong project management and organizational skills. Able to work and communicate well with cross-functional teams in a dynamic environment.