M
Mastercard
Data Engineer

Manager, Data Engineering

On-siteSeniorData Engineerposted 3w ago
Role summaryAI-generated

The role leads the design and delivery of scalable data pipelines and platforms for Mastercard's GBSC Analytics & Automation team. It involves managing a team to build ETL processes, cloud data solutions, and automation to support analytics and reporting.

Skills required

About this role

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Manager, Data Engineering

Overview
The GBSC Analytics & Automation team enables data-driven decision-making through scalable data platforms, automation, and analytics capabilities. We are seeking a Manager – Data Engineering to lead the design and delivery of robust data pipelines and data platforms that support analytics, reporting, and AI use cases.
Role & Responsibilities
• Lead multiple analytics projects and initiatives within GBSC and Mastercard
• Lead design and development of scalable data pipelines and platforms
• Manage and mentor a team of data engineers
• Partner with business and analytics teams to translate requirements into solutions
• Drive best practices in data quality, governance, and security
• Oversee end-to-end delivery of data engineering projects
• Optimize data workflows for performance and scalability
• Collaborate with cross-functional teams including Governance and AI/ML
• Ensure operational stability through monitoring and continuous improvement
All About You
• Experience in data engineering and ETL/ELT pipelines
• Strong SQL and Python skills
• Experience with data platforms (Eg: Databricks)
• Understanding of data architecture (Lakehouse, Warehousing)
• Strong stakeholder and team management skills
• Experience working with large datasets and enterprise systems

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.




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