Senior Software Development Engineer - QE (DW - QA)

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 Software Development Engineer - QE (DW - QA)
Senior Software Development Engineer - QE (DW - QA)
Job Description
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. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Mastercard is looking for a Senior Software Test Engineer to join the Account Level Management(ALM) team in our Pune office that's focused on building ALM Services with Data warehouse skills. The Mastercard Account Level Management platform empowers real-time card level decisioning. As consumers progress along their life stages as card holders, with increasing disposable income and more refined preferences, ALM provides services to issuers so they can effectively offer more relevant benefits and rewards at each stage, to drive loyalty and spend.
Job Description- Big Data Test Engineer with Python/Shell Script Automation
Role:
Support development and maintain automated test frameworks, tools, and test cases for Data Engineering and Data Warehouse (DWH) applications.
Collaborate with cross-functional teams including software developers, data engineers, and data analysts to ensure comprehensive testing coverage and adherence to quality standards.
Conduct thorough testing of data pipelines, ETL processes, and data transformations using Big Data technologies.
Apply knowledge of Data Warehouse/Data Lake methodologies and best practices to validate data accuracy, completeness, and performance.
Perform end-to-end QE testing across DWH systems, including data ingestion, transformation, storage, and reporting layers.
Identify, document, and track software defects; work closely with development teams to ensure timely resolution.
Participate in code reviews, design discussions, and quality assurance meetings to provide insights and drive improvements.
Base Skill Requirements:
Must Technical
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5-9 years of experience in software testing and development, with a focus on data-intensive applications.
Proven experience in testing data pipelines and ETL processes - Test planning, Test Environment planning, End to End testing, Performance testing.
Solid programming skills in Python - proven automation effort to bring efficiency in the test cycles.
Solid understanding of Data models and SQL .
Must have experience with ETL (Extract, Transform, Load) processes and tools (Scheduling and Orchestration tools, ETL Design understanding)
Good understanding of Big Data technologies like Spark, Hive, and Impala.
Understanding of Data Warehouse methodologies, applications, and processes.
Experience working in an Agile/Scrum environment, with a solid understanding of user stories, acceptance criteria, and sprint cycles.
Optional Technical
Experience with scripting languages like Bash or Shell.
Experience working with large-scale datasets and distributed data processing frameworks (e.g., Hadoop, Spark).
Familiarity with data integration tools like Apache NiFi is a plus.
Excellent problem-solving and debugging skills, with a keen eye for detail.
Strong communication and collaboration skills to work effectively in a team-oriented environment.
Eagerness to learn and contribute to a growing team.
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.