Home JobsSoftware Engineer R at Mastercard in Gurugram – Data Visualization, Shiny and Analytics Engineering Role

Software Engineer R at Mastercard in Gurugram – Data Visualization, Shiny and Analytics Engineering Role

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Software Engineer

Gurgaon

Full-Time

Posted April 1, 2026

Salary

10-15 LPA

Batches

Freshers

Apply Route

100% Direct

About The Role

Mastercard is a leading global payments technology company that powers digital transactions, payment infrastructure, and financial intelligence services across the world. Through its Economics Institute, Mastercard combines economic research, large-scale data analysis, and advanced visualization to generate insights that help businesses, governments, and institutions understand economic trends and market behavior. The Gurgaon engineering and analytics teams support data systems, automation, and analytical product development where software engineering directly contributes to economic intelligence and decision support. This role is ideal for engineers who enjoy combining programming, analytics, and storytelling through data-driven applications 📊💳.

Responsibilities

Build clear and impactful data visualizations to communicate economic insights.

Develop reusable R functions and packages for analytics and automation.

Create analytical content using R Markdown or Quarto.

Design and maintain scalable Shiny applications.

Build interactive visualizations using JavaScript charting libraries or frontend frameworks.

Work with SQL databases and data platforms for analysis workflows.

Write maintainable and well-documented code for collaborative use.

Use Git for version control and collaborative development.

Requirements

Strong proficiency in R programming and RStudio or Positron IDE.
Experience with R packages such as dplyr for data transformation and aggregation.
Familiarity with R documentation tools such as roxygen2.
Experience with SQL and relational databases.
Understanding of Git-based version control workflows.
Strong collaboration and communication skills.
Ability to manage multiple analytical projects effectively.

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