Build complex front-end applications with appealing visual designs.Develop web applications and RESTful/GraphQL web services, dealing with JSON and YAML config files.Utilize multiple back-end languages (such as Python, and Node) and JavaScript frameworks (like Angular, React, and Vue) to build robust software.Configuring databases (such as MySQL and MongoDB), web servers (e.g., Apache), and UI/UX design.Design, deploy, and manage code deployment pipelines in both production and non-production environments.Test software to ensure responsiveness and efficiency.Troubleshoot, debug and upgrade existing Web UIs.Create security and data protection settings for the application.Write clear and concise technical documentation with necessary logical/architectural diagrams.

Design and build high-quality systems using React, MongoDB and AWSDefine and coach engineering best practices in the team, fostering a culture of quality, pair programming, clean coding, and test-driven developmentStrengthen the team’s agile practices through continuous improvement activities

Contributing to entire application lifecycle using clean code and debugging.Developing functional & stable web applications and performing UI tests to optimize performance.Building reusable code and libraries.Implementing trending technologies to improve legacy systems and accumulate technical and design requirements.Ensuring system consistency and improve end user experience.Using AWS Cloud to provide solutions to the end users.Building highly scalable apps using top backend technologies.

Develop and maintain data processing pipelines using PySpark and Hadoop to process large volumes of structured and unstructured data.Use Hive to create and manage data warehouses for ad-hoc querying and data analysis.Collaborate with data engineers, data scientists, and other stakeholders to design, implement, and optimize data solutions that meet business requirements.Develop and maintain Python-based data analysis and visualization tools for exploring and presenting complex datasets.Participate in code reviews and contribute to the development of shared libraries and frameworks for data processing and analysis.Develop and maintain documentation for data pipelines, data models, and data analysis workflows.