Mastercard Offices

Analyze payments, transaction, customer, and operational data to produce reliable datasets, dashboards, reports, and business insights. Responsibilities include data cleansing, validation, governance, SQL and Python analysis, Databricks and Spark processing, reporting automation, visualization, quality checks, and stakeholder collaboration. The role identifies trends, anomalies, risks, and growth opportunities while documenting analytical processes and supporting data-driven decisions.

Leads the architecture, delivery, modernization, and operations of enterprise data platforms, warehouses, databases, and engineering solutions. Designs ETL/ELT and CDC pipelines, manages cloud and database environments, improves reliability, security, scalability, and cost efficiency, and drives migrations and strategic initiatives. Provides technical leadership, mentors engineers, coordinates cross-functional projects, manages incidents and root-cause analysis, supports capacity planning, and collaborates with security, cloud, SRE, analytics, and business teams.

Designs and develops secure, scalable full-stack Open Finance solutions using React, TypeScript, Node.js, and Java. Responsibilities include building accessible front-end experiences, backend services and APIs, automated testing, CI/CD, troubleshooting, production support, stakeholder collaboration, and mentoring junior engineers. The role requires cloud, microservices, REST, Agile, and modern AI-assisted development experience.