R Shiny Developer

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