Software engineer II (Java, Apache/ Spark, AWS and ETL)

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

Software Engineer II (ETL, AWS, Spark, Java)

Overview

We are seeking a Software Engineer II to design, develop, and maintain scalable data processing and cloud-native solutions. The ideal candidate will have experience in Java, Apache Spark, AWS, and ETL engineering, with a strong focus on building reliable, high-performance data platforms.

Role & Responsibilities

• Design and develop ETL pipelines and large-scale data processing solutions using Apache Spark.
• Build and support backend services, APIs, and data platforms using Java and Spring Boot.
• Develop and deploy cloud-native applications on AWS.
• Ensure data quality, performance, security, and operational excellence across applications.
• Contribute to CI/CD, monitoring, automation, and production support activities.
• Collaborate with cross-functional teams and participate in Agile development practices.

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Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4+ years of software engineering experience.
• Strong experience with Java, Spring Boot, Apache Spark, ETL development, and SQL.
• Experience with AWS services and cloud-native application development.
• Hands-on experience with relational databases, Git, and software engineering best practices.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and Agile methodologies.

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Preferred Qualifications

• Experience with Databricks, Kafka, Snowflake, Redshift, or similar data technologies.
• Knowledge of microservices, distributed systems, and Infrastructure as Code (Terraform).
• Experience with observability and monitoring tools such as Splunk, Dynatrace, or CloudWatch.
• Financial services or payments industry experience.

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Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ownership mindset with a focus on quality, reliability, and continuous improvement.
• Ability to work independently while contributing to team success.

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Success Measures

The successful candidate will

• Deliver scalable and reliable data processing solutions.
• Improve performance and efficiency of ETL workloads.
• Ensure high-quality software with strong operational excellence.
• Drive cloud adoption and engineering best practices.
• Mentor team members and contribute to technical leadership initiatives.

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Typical Technology Stack

Area Technologies

Programming Java, Spring Boot

Big Data Apache Spark, Spark SQL

Cloud AWS S3, EMR, Glue, Lambda, ECS/EKS

Messaging Kafka, Axon

Databases Oracle, PostgreSQL, MySQL

DevOps Jenkins, GitHub Actions, Terraform

Monitoring Splunk, Dynatrace, CloudWatch

Containers Docker, Kubernetes

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.