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R Shiny Engineer
4 days ago
14 to 16 LPA
Key Responsibilities:1. R Shiny Application Development: Design, develop, and maintain interactive webapplications using R Shiny to visualize and analyse data in an engaging and user-friendlymanner.2. Data Visualization: Create visually appealing and informative data visualizations, charts, anddashboards to effectively communicate complex insights to stakeholders.3. Data Manipulation and Analysis: Utilize your expertise in data science to manipulate, clean,and analyse large datasets, extract meaningful patterns, and generate actionable insights.4. Statistical Analysis: Apply statistical methods and models to uncover trends, correlations,and patterns within the data, supporting data-driven decision-making processes.5. Collaboration: Work closely with data scientists, analysts, and other stakeholders tounderstand business requirements and translate them into functional R Shiny applications.6. Performance Optimization: Continuously optimize application performance to ensureefficient processing and responsiveness.7. Documentation: Create clear and concise documentation for developed applications,including user guides and technical specifications.8. Quality Assurance: Conduct thorough testing to identify and resolve bugs, ensuring thereliability and accuracy of the developed applications.9. Data Integration: Integrate R Shiny applications with various data sources and databases,ensuring seamless data flow and real-time updates.10. Stay Updated: Keep abreast of the latest developments in R Shiny, data science, and relatedtechnologies, and share knowledge and insights with the team.
Qualifications:1. Bachelor's or masters degree in Computer Science, Data Science, Statistics, or a relatedfield.2. Proven experience (3-8 years) in developing interactive web applications using R Shiny.
Must Technical Skills:1. Strong proficiency in R programming, data manipulation packages (e.g., dplyr, tidyr), anddata visualization libraries (e.g., ggplot2, plotly).2. Solid understanding of data science concepts, statistical analysis, and machine learningalgorithms.3. Experience with data visualization best practices and the ability to create insightful andcompelling visual representations of data.4. Familiarity with data querying languages (e.g., SQL) and database management.5. Knowledge of version control systems (e.g., Git) and collaborative development practices.6. Excellent problem-solving skills and the ability to analyze and interpret complex datasets.7. Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform(Optional)8. Familiarity with PowerPoint would be handy
Soft Skills1. Excellent communication and collaboration skills to effectively convey technical concepts totechnical and non-technical stakeholders.2. Understanding agile development methodologies and experience working in an agile teamenvironment.3. Demonstrate the candidate's versatility and adaptability to new challenges.4. A self-starter who enjoys working in a fast-paced, dynamic environment5. A passion for staying up-to-date with emerging technologies and a drive to continuouslylearn and improve.
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