Senior Data Engineer at Mastercard in Pune, Maharashtra, India

Senior Data Engineer
Location: Pune, India
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
The AI Innovation at Scale team is seeking a highly motivated and detail-oriented Quality Assurance Engineer to join our team. This role is critical in ensuring the delivery of high-quality products by assessing requirements, identifying issues, and implementing effective testing strategies. The ideal candidate is curious, detail-oriented, technically skilled, and thrives in a collaborative environment. You will play a key role in improving quality management and continuous improvement.

RoleAs a Senior Data Engineer, you will:
• Be an integral part of a creative and innovative team, contributing to collaborative projects and sharing insights to drive engineering and data science excellence
• Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at petabyte scale, pushing the boundaries of data processing and model enablement
• Partner closely with Data Science teams to enable seamless R&D, scale models, features, and experimentations into reliable systems
• Support the deployment of model features and model artifacts, ensuring seamless integration into production environments and downstream decisioning systems
• Write clean, testable, and maintainable code, ensuring solutions are robust, efficient, and production-grade
• Design, build, and maintain data pipelines that integrate multiple data sources to support a unified merchant registry and trust profile, enabling richer datasets and unlocking new opportunities for innovation
• Collaborate with data operations and governance teams to move and manage data in compliance with security standards, policies, and regulatory requirements
• Contribute to the design and evolution of scalable, entity-centric data models that support merchant identity resolution and longitudinal profiling
• Automate and maintain data workflows in distributed environments, improving reliability and operational efficiency
• Analyze and optimize ETL/ELT processes to support high-performance data access and model execution
• Implement testing frameworks and monitoring capabilities to ensure production solutions are reliable, observable, and continuously improving
• Support incident response, debugging, and performance tuning of production AI/ML systemsAbout You

Essential Skills to be successful:
• Proven track record of self-directed learning, demonstrating the ability to acquire new skills and knowledge independently
• Strong independent research skills and resourcefulness, enabling you to find solutions and innovate in data engineering
• Strong understanding of data pipelines and end-to-end ML model development workflows, with exposure to entity-centric data systems
• Experience with Python and SQL, showcasing the ability to write clean, readable, and maintainable code
• Experience with big data technologies (e.g., Spark, distributed compute frameworks)
• Hands-on experience with cloud platforms such as Databricks, AWS, or GCP• Critical thinking and a drive to produce high-quality work, ensuring all solutions meet rigorous standards
• Strong communication skills, enabling effective collaboration with team members and stakeholders
• Experience collaborating across data science, engineering, and governance teams
• Ability and interest in problem-solving, with a proactive approach to tackling challenges
• Openness to learn and apply new technologies, staying current with industry trends and advancements
• Familiarity with Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration
• Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Software Engineering, or a related field or equivalent practical experience
• Contributions to platform standardization, reusability, and shared tooling across teamsNice to Have
• Experience working in hybrid environments (cloud and on-premises)
• Familiarity with ML lifecycle and CI/CD practices for data and ML workflows
• Experience with data governance, lineage, and metadata management
• Exposure to batch, streaming, or real-time data pipelines and production ML monitoring/observability
• Experience supporting high-scale production systems in merchant, fraud, or payment domains
• Understanding of security, compliance, and handling sensitive data
• Experience designing scalable databases and data models such as business registries
• Experience with database updates and maintenance
Corporate Security Responsibility

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.