Senior R Shiny Developer

** Looking for immediate joiners only. If interested, please revert back with details : CTC, ECTC and notice period. Email : [HIDDEN TEXT]. Please note that the working hours would be 5:30 pm to 2:30 am and this would be a complete remote opportunity **

Job Summary:

We are seeking a skilled R Shiny Developer to join our data engineering and analytics team. The ideal candidate will have a strong background in R programming, data handling, and visualization. You will be responsible for building and deploying interactive web applications using R Shiny, focused on data-driven insights and analytics. While no specific business knowledge is required, familiarity with the pharmaceutical industry is a plus.

Working hours : 5:30 pm - 2:30 am

Key Responsibilities:

• Develop and Deploy Applications:
• Design, develop, and maintain interactive web applications using R Shiny.
• Ensure that applications are scalable, secure, and optimized for performance.
• Data Engineering and Management:
• Handle large datasets, ensuring data integrity and quality.
• Collaborate with data engineers to extract, transform, and load (ETL) processes for datasets used in R Shiny applications.
• Data Visualization and Analytics:
• Create interactive dashboards and visualizations that effectively communicate data insights.
• Utilize R and other tools to perform data analysis and generate reports.
• Collaboration and Communication:
• Work closely with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality solutions.
• Participate in team meetings and contribute to project planning and timelines.
• Documentation and Best Practices:
• Document all stages of the application development process.
• Adhere to best practices in coding, version control, and testing.

Qualifications:

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

Technical Skills:

• Strong proficiency in R programming and experience with R Shiny.
• Experience with data manipulation tools (e.g., dplyr, tidyr) and data visualization libraries (e.g., ggplot2, plotly).
• Familiarity with SQL and database management.
• Understanding of web technologies (HTML, CSS, JavaScript) is a plus.
• Experience with Git or other version control systems.

Experience:

• Proven experience in developing and deploying R Shiny applications.
• Experience in data engineering, including ETL processes.
• Experience with cloud platforms (e.g., AWS, Azure) is desirable.

Soft Skills:

• Strong problem-solving skills and attention to detail.
• Ability to work independently as well as part of a team.
• Good communication skills, with the ability to present technical information to non-technical stakeholders.

Preferred Qualifications:

• Experience in the pharmaceutical industry or familiarity with healthcare data.
• Knowledge of machine learning or advanced analytics.
• Experience with other programming languages such as Python.