Senior Data Engineer

Mastercard is hiring a Senior Data Engineer in Pune.

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 Senior Data Engineer

Responsibilities

Own the development of ETL/ELT pipelines, data movement processes, and both streaming and batch data solutions. You’ll be responsible for building and maintaining reports, dashboards, applications, services, and user interfaces, while scaling and optimizing existing solutions. Our current architecture spans SAP HANA and Snowflake data warehouses, both on-premise and in the cloud. You’ll ensure the configuration, maintenance, security, and reliability of data and data services across these environments, contributing to a state-of-the-art analytics foundation. You’ll also plan and execute deployments, migrations, and upgrades with minimal service impact, and support architects and analysts in designing agile, effective applications. Your experience will help shape and scale the future of our development and production infrastructure.

All About You

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field
• Proven experience in data warehousing and data lake development, including modeling and integration
• Experience working with Cloud Database platforms, particularly Snowflake
• Strong SQL skills and proficiency in programming languages such as Python or R
• Solid understanding of data mining, machine learning algorithms, and analytics tools
• Experience with data ingestion and streaming platforms like Kafka
• Skilled in ETL/ELT tools (e.g., Apache NiFi, Azure Data Factory, Pentaho, Talend)
• Hands-on experience with cloud platforms, especially Microsoft Azure
• Familiarity with DevOps practices, CI/CD pipelines, and source control (preferably Git)
• Strong troubleshooting skills with large-scale systems and performance tuning
• Knowledge of application frameworks (e.g., Spring Boot) and database change management
• Excellent communication, problem-solving, and analytical skills

Preferred qualifications

• SAP HANA (Stored Procedures, SQL Programming, Calc Views, Data Modeling)
• SAP Data Services
• Experience with reporting/dashboarding tools
• Familiarity with single-page application frameworks (e.g., VueJS, ReactJS)
• Understanding of Cloud Foundry application platform
• Background in banking, e-commerce, credit cards, or payment processing
• Exposure to both SaaS and on-premises architectures
• Ideally you have experience in banking, e-commerce, credit cards or payment processing and exposure to both SaaS and premises-based architectures. In addition, you have a post-secondary degree in computer science, mathematics, or quantitative science.

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.

About Mastercard

Ethoca, a Mastercard Company is seeking a Senior Data Engineer to join our team to drive data enablement and explore big data solutions within our technology landscape. The role is visible and critical as part of a high performing team – it will appeal to you if you have an effective combination of domain knowledge, relevant experience, and the ability to execute on the details. You will bring cutting edge software and full stack development skills with advanced knowledge of cloud and data lake