Data Engineer II

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

Data Engineer II

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

Are you a skilled Data Engineer with a passion for building robust data and analytics products/solutions and driving impact? As Data Engineer II, you will own the creation of reliable and efficient data products and solutions, enabling the delivery of exceptional Data and Analytics Services to both internal and external customers.

Role

As the Data Engineer II for Mastercard's Data and Analytics team, you will own the development and execution of innovative data products, solutions, and frameworks. Your expertise will ensure effective democratization of Mastercard's data using well-designed data products and solutions. You will collaborate with cross-functional teams and implement data-related best practices in alignment with Mastercard standards.

Key Responsibilities:
• Design, develop, and maintain new data products, solutions, and infrastructure
• Create new data pipelines and compliance-oriented infrastructure to facilitate seamless data utilization in AWS cloud environment.
• Identify existing data capabilities and infrastructure gaps or opportunities and provide subject matter expertise in support of remediation.
• Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions.
• Work with large card payment datasets, ensuring data quality, accuracy, and performance.
• Build and maintain data quality checks and pipeline monitoring (e.g., validation rules, anomaly detection, alerts, and dashboards) to ensure reliable, timely data delivery.
• Implement data transformation, integration, and validation processes to support analytics and BI reporting needs.
• Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency.
• Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes.
• Document data processes, data lineage, and technical specifications for future reference.
• Participate in code reviews, ensuring adherence to coding standards and best practices.
• Collaborate with DevOps teams to automate deployment and monitoring of data pipelines.

Qualifications
• Bachelor’s degree in computer science, Engineering, Data Science, or a related field.
• 4 to 6 years of experience as a Data Engineer or similar role, implementing multiple end-to-end data engineering, data lake, and data warehousing projects in a big data environment, with a strong command of data integration techniques and data quality management.
• Strong experience building Spark data pipelines using Python in Databricks
• Deep understanding & expertise in data engineering, ETL/ELT processes, data warehousing, and data modelling.
• Experience automating data pipelines in a Databricks environment using Delta Live Tables or similar tools.
• Strong experience with data technologies such as Databricks, Spark, Python, and SQL, as well as cloud platforms and services such as AWS.
• Excellent analytical, problem-solving skills and ability to provide innovative data solutions.
• Motivated initiative-taker with ability to excel at multi-tasking in a challenging environment and able to function under pressure with a high degree of initiative to drive results.
• Exceptional people skills with proven experience in relationship building and partnering, must work well in both team/individual settings and must be able to work with a geographically dispersed team.
• Strong written and oral communication skills with attention to detail
• Ability to quickly learn and implement modern technologies and perform POC to explore best solutions for problem statements.
• Flexibility to work as a member of a matrix-based diverse and geographically distributed project team.
• Experience working in Agile teams.

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.