MastercardSoftware engineer II (Java, Apache/ Spark, AWS and ETL)
Mastercard is hiring a Software engineer II (Java, Apache/ Spark, AWS and ETL) in Pune, India. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks, Java and Apache Spark among its tools and skills.
- Level classes it as a mid-level role.
- Mastercard has 1,100+ other open roles on Level.
- Posted within the past two weeks.
AI in this role
Design and develop scalable data processing pipelines, ETL solutions, and cloud-native Java applications on AWS.
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 (Java, Apache/ Spark, AWS and ETL)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.
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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
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.
How we rate this
Software engineer II (Java, Apache/ Spark, AWS and ETL) at Mastercard rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where backend development was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ETL, Backend Development, Cloud Computing, CI/CD, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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