R Shiny Developer

About the job

Role Summary: This role demands experienced developers to create detailed member level information supporting the MART application development which involves Application (UX) development and integration with data sources , ETL pipeline development. Responsibilities: • Design, develop, and maintain the user interface (UI) of the MART application using R Shiny, JavaScript, and CSS, ensuring a seamless and intuitive user experience. • Develop and maintain efficient and scalable ETL pipelines using GCP Dataform and BigQuery to extract, transform, and load data from various on-premise (Oracle) and cloud-based sources. This includes leveraging Big R query for accessing on-premise Oracle data. • Develop and implement data manipulation and transformation logic in R, creating a longitudinal data format with unique member identifiers. • Develop and implement comprehensive logging and monitoring using Splunk. • Collaborate with other developers, data scientists, and stakeholders to ensure the timely delivery of high-quality software. • Participate in all phases of the software development lifecycle, from requirements gathering and design to testing and deployment. • Contribute to the maintenance and improvement of existing application functionality. • Work within a Git-based version control system. • Manage data in a dedicated GCP project, adhering to best practices for cloud security and scalability. • Contribute to the creation of summary statistics for groups via the Population Assessment Tool (PAT). Required Skillsets: • Strong proficiency in R Shiny for UI development. • Strong proficiency in JavaScript, CSS, and HTML for front-end development. • Strong proficiency in data science background and Data Analyst background. • Proven experience in designing, developing, and maintaining ETL pipelines, preferably using GCP Dataform and BigQuery. • Experience with data manipulation and transformation in R, including creating longitudinal datasets. • Experience working with on-premise databases (Oracle), preferably using Big R query for data access. • Experience with Git for version control. • Experience with Splunk for logging and monitoring. • Experience working with cloud platforms, specifically Google Cloud Platform (GCP). • Strong analytical and problem-solving skills. • Excellent communication and collaboration skills. Good to Have Skillsets: • Experience with Tableau for dashboarding and data visualization. • Experience with advanced data visualization techniques. • Experience working in an Agile development environment. Shift Requirement: 3PM to 12 midnight.

Requirements

• R Shiny
• JavaScript
• CSS
• HTML
• ETL pipelines
• GCP Dataform
• BigQuery
• data manipulation
• Oracle
• Git
• Splunk

Preferred Technologies

• R Shiny
• JavaScript
• CSS
• HTML
• ETL pipelines
• GCP Dataform
• BigQuery
• data manipulation
• Oracle
• Git
• Splunk