Senior Data Engineer (Data Platforms)-1

Mastercard; Maharashtra; On-site; INR 400,000 - 720,000; Full time

Job summary

Mastercard is seeking a Senior Data Engineer to build a scalable data platform with a self-service experience and governance layer. You will own the stack from API and backend services to cloud infrastructure in a multi-cloud environment.

Join a team delivering data-intensive, AI-powered capabilities, with strong emphasis on security, reliability and performance across distributed systems and lakehouse platforms.

Qualifications

• 6+ years of experience building scalable data platforms in agile environments.
• Experience with distributed systems, microservices and RESTful APIs.
• Proficient with Python, Spark/PySpark, Databricks and lakehouse tech; strong UI/API coupling.

Responsibilities

• Build and evolve the data platform self-service experience and automated control layer.
• Deliver end-to-end engineering across UI, API, data and cloud layers in a multi-cloud setup.
• Provision and govern cloud and lakehouse infrastructure for enterprise users.

Skills

Data platforms

Python

Spark/PySpark

Databricks

Unity Catalog

Iceberg/Delta Lake

Object storage

Airflow

Java

Spring Boot

REST APIs

React

TypeScript/JavaScript

AWS

Azure

Kubernetes

IAM

Terraform

CloudFormation

CDK

CI/CD

Observability

Cost optimization

Kafka

Flink

Trino

EMR

Snowflake

AI development

LLM

RAG

Agentic frameworks

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Unity Catalog

Apache Iceberg

Delta Lake

Apache Airflow

React

TypeScript/JavaScript

AWS

Azure

Kubernetes

Terraform

CloudFormation

CDK

CI/CD tools

Kafka

Flink

Trino

EMR

Snowflake

Job description

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 (Data Platforms)-1

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. Our decency quotient, or DQ, drives our culture and everything we do. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

About The Role

Mastercard's Data Commercialization Platform team is looking for a Senior Data Engineer to build the platform's self-service experience and automated control layer. The goal is to replace manual, multi-team request processes with a governed, intuitive experience, and to extend it with data-intensive and AI-powered capabilities.

This is a hands-on, end-to-end engineering role. It covers everything from the user-facing web experience down to the data, API and cloud layers underneath, in a multi-cloud environment.

The platform provisions and governs cloud and lakehouse infrastructure for enterprise users. The role requires deep expertise in cloud platforms, including compute, networking, identity, storage and security. Candidates must understand how these services work together to deliver scalable, secure and reliable solutions.

All About You

Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience).

You have 6+ years of experience building scalable, reliable data platforms and software in agile environments, using distributed systems, microservices and RESTful APIs.

Experience building and operating modern data and lakehouse platforms using Python, Spark/PySpark, Databricks, Unity Catalog, Apache Iceberg or Delta Lake, object storage, and workflow orchestration tools such as Apache Airflow.

Strong end-to-end application development skills. This means building back-end services in Java (Core Java, Spring Boot, REST APIs) and the web experiences on top of them in React and TypeScript/JavaScript, with attention to responsive design, accessibility and performance.

Deep hands-on cloud engineering experience on AWS and/or Azure, including Kubernetes, networking, identity and access management, storage, security, infrastructure-as-code (Terraform, CloudFormation, or CDK), CI/CD, observability, and cost optimization.

Experience designing workflow orchestration platforms, automation frameworks, or long-running stateful processes. This includes retries, idempotency, reconciliation, and integration with external systems through REST or GraphQL APIs.

Experience with relational and NoSQL databases, query optimization, caching, asynchronous processing, and application scalability patterns.

Experience with streaming and distributed data technologies such as Kafka, Flink, Trino, EMR, or Snowflake is a plus.

Exposure to AI-powered development, including LLM-based applications, retrieval-augmented generation (RAG), agentic frameworks, and evaluation techniques.

Strong engineering fundamentals, including secure coding practices, access control models, automated testing, observability, and troubleshooting across UI, API, data, and cloud layers.

Ability to evaluate technical trade-offs, contribute to architecture and design discussions, and explain complex solutions to engineering, security, platform and business stakeholders.

Experience using AI coding assistants and modern developer productivity tools to speed up delivery and improve code quality.

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.