Senior Data Engineer

Mastercard is hiring a Senior Data Engineer in Navi Mumbai.

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

We are seeking a Senior Data Engineer to drive AI-led transformation across our analytics and data platforms. This role is designed for a hands-on engineer who can ideate, design, and implement AI-driven solutions, modernize Python and data pipelines, and maintain best-in-class analytics environments. The role combines agentic AI concepts, cloud-based AI services, strong Python/PySpark engineering, and deep analytics expertise across Databricks and Snowflake, while applying solid ETL and DBA fundamentals in AWS.

Skill Priority & Core Responsibilities

1️⃣ AI – Agentic Systems, GenAI & Intelligent Workflow Automation Lead AI ideation by identifying opportunities to eliminate manual effort, reduce operational friction, and improve decision-making. Design and implement agentic AI solutions, including: Multi-agent orchestration for task delegation and workflow execution AI agents for monitoring, diagnostics, reconciliation, and data reasoning Build end-to-end GenAI / LLM-powered workflows, including prompt engineering, chaining, tool use, and evaluation. Design and maintain data pipelines specifically for AI workloads, supporting: Training, fine-tuning, and inference Vector storage, retrieval-augmented generation (RAG), and embeddings Integrate AI solutions with existing data platforms while ensuring governance, observability, and cost control. Apply responsible AI principles, access controls, and auditability for AI-driven systems.

2️⃣ Python Engineering, APIs & PySpark Development Develop production-grade Python applications supporting data, AI, and automation use cases.

About Mastercard

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