Job Description :

Key Skills :

- R, R Shiny, SQL, Python, MS SQL Server, AWS S3, GitHub, Data Visualization, Data Analysis, Excel

Roles & Responsibilities :

- Develop and maintain data applications using R and R Shiny.

- Build and enhance data visualization dashboards and reporting solutions.

- Write and optimize SQL queries for data extraction and analysis.

- Troubleshoot and resolve issues in production applications and data workflows.

- Develop and maintain R packages and reusable code components.

- Create database connections and support data delivery to Excel and reporting tools.

- Work with AWS S3 for data storage and management activities.

- Collaborate with business and technical teams to deliver data solutions.

- Maintain technical documentation and support operational activities.

- Participate in testing, deployment, and continuous improvement initiatives.

Experience Required :

- 5 to 8 years of experience in Software Development and Data Analytics.

- Strong hands-on experience with R programming and R package development.

- Experience building applications using R Shiny.

- Strong SQL skills with experience in relational databases and MS SQL Server.

- Experience with data visualization, reporting, and analytics solutions.

- Working knowledge of Python for data processing and automation tasks.

- Experience with AWS S3 and cloud-based data storage.

- Familiarity with GitHub and version control practices.

- Strong troubleshooting, debugging, and problem-solving skills.

- Good communication and collaboration skills.