Data Engineer - R &R Shiny

Job description

  • R Programming: A strong understanding of R programming is essential for developing and maintaining RShiny applications.
  • Shiny Framework: Proficiency in the Shiny framework, including creating interactive web applications and understanding reactive programming concepts.
  • HTML/CSS/JavaScript: Basic knowledge of front-end technologies to customize and style Shiny apps.
  • Data Visualization: Ability to create informative and visually appealing charts and plots using packages like ggplot2 and Plotly.
  • R Package Management: Familiarity with tools like renv or packrat for managing package dependencies within R projects.
  • ETL (Extract, Transform, Load): Knowledge of data extraction, transformation, and loading processes using Databricks.
  • Debugging: Troubleshooting skills to identify and resolve issues in RShiny apps and Databricks pipelines.
  • Documentation: Documenting code, configurations, and processes to ensure knowledge sharing and ease of maintenance.
  • Training: Ability to conduct training on the above when needed.
Skills:- R Language, R SHINY, ETL and databricks

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