The Platform Engineer will design, build, and maintain data platforms, develop analytics solutions, and ensure data governance and compliance. They'll leverage databases, programming languages, and machine learning to enhance operational intelligence.
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
Platform Engineer - Data Analysis
Job Title: Platform Engineer - Data Analysis (L8)
Location: Pune, India
Overview-
As a Platform Engineer (L8), you will play a pivotal role in designing, building, and maintaining advanced data platforms and analytics solutions. You'll leverage your expertise in databases, programming, data governance, and machine learning to drive operational excellence and empower teams across the organization. This is a high-impact, senior-level position for technical leaders who thrive in collaborative, agile environments and are passionate about data-driven innovation.
Key Responsibilities• Architect and Maintain Data Platforms: Design scalable, reliable data storage and processing solutions using technologies such as Postgres, Hive, and SQL.• Service Model Development: Establish and implement service models that support efficient, resilient data operations.• Data Analysis & Governance: Analyze complex datasets to extract actionable insights and ensure compliance with governance standards and best practices.• Self-Service Analytics: Build dashboards and tools that enable users to independently access and interpret data, improving decision-making and operational efficiency.• Advanced Analytics & Machine Learning: Develop anomaly detection pipelines and abuse detection systems using statistical and machine learning algorithms such as logistic regression and decision trees.• Agile Collaboration: Work within Safe/Agile frameworks to deliver scalable solutions in a collaborative, iterative environment.• Operational Intelligence: Implement analytics and machine learning solutions to enhance operational intelligence and support business objectives.• Data Governance & Compliance: Ensure all data solutions adhere to governance and compliance requirements.
Required Skills & Experience• Databases & Data Platforms: Intermediate proficiency in Postgres, Hive, and SQL.• Programming Languages: Working knowledge of Java, R, and Python.• Methodologies: Familiarity with Safe/Agile frameworks.• Data Analysis & Governance: Experience in analyzing data for insights and ensuring compliance with governance standards.• Self-Service Dashboard Build: Ability to create dashboards for independent data access.• Anomaly & Abuse Detection: Expertise in building pipelines for anomaly detection and analyzing data to uncover abuse scenarios.• Machine Learning Algorithms: Practical experience with logistic regression and decision trees.
Minimum Qualifications• Education: Bachelor's in engineering (Electronics, Computer Science, Information Technology, or related field) and Business Analytics MBA/Major preferred• Relevant Experience: 2-3 years of experience in the Payment Industry.
Ideal Candidate• Proven experience designing and maintaining enterprise-grade data platforms.• Strong analytical skills with the ability to translate complex data into actionable insights.• Experience implementing advanced analytics and machine learning solutions.• Demonstrated ability to work collaboratively in agile teams.• Commitment to data governance and compliance.
Why Join Us?• Impact: Drive the future of data platforms and analytics for a leading organization.• Growth: Work with cutting-edge technologies and expand your expertise.• Collaboration: Join a team that values innovation, agility, and continuous improvement.• Flexibility: Enjoy hybrid/remote work options and a culture that supports work-life balance.
Ready to make a difference? Apply now to join our team as a Platform Engineer (L8) in Pune, India, and help shape the future of data-driven solutions.
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:
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
Platform Engineer - Data Analysis
Job Title: Platform Engineer - Data Analysis (L8)
Location: Pune, India
Overview-
As a Platform Engineer (L8), you will play a pivotal role in designing, building, and maintaining advanced data platforms and analytics solutions. You'll leverage your expertise in databases, programming, data governance, and machine learning to drive operational excellence and empower teams across the organization. This is a high-impact, senior-level position for technical leaders who thrive in collaborative, agile environments and are passionate about data-driven innovation.
Key Responsibilities• Architect and Maintain Data Platforms: Design scalable, reliable data storage and processing solutions using technologies such as Postgres, Hive, and SQL.• Service Model Development: Establish and implement service models that support efficient, resilient data operations.• Data Analysis & Governance: Analyze complex datasets to extract actionable insights and ensure compliance with governance standards and best practices.• Self-Service Analytics: Build dashboards and tools that enable users to independently access and interpret data, improving decision-making and operational efficiency.• Advanced Analytics & Machine Learning: Develop anomaly detection pipelines and abuse detection systems using statistical and machine learning algorithms such as logistic regression and decision trees.• Agile Collaboration: Work within Safe/Agile frameworks to deliver scalable solutions in a collaborative, iterative environment.• Operational Intelligence: Implement analytics and machine learning solutions to enhance operational intelligence and support business objectives.• Data Governance & Compliance: Ensure all data solutions adhere to governance and compliance requirements.
Required Skills & Experience• Databases & Data Platforms: Intermediate proficiency in Postgres, Hive, and SQL.• Programming Languages: Working knowledge of Java, R, and Python.• Methodologies: Familiarity with Safe/Agile frameworks.• Data Analysis & Governance: Experience in analyzing data for insights and ensuring compliance with governance standards.• Self-Service Dashboard Build: Ability to create dashboards for independent data access.• Anomaly & Abuse Detection: Expertise in building pipelines for anomaly detection and analyzing data to uncover abuse scenarios.• Machine Learning Algorithms: Practical experience with logistic regression and decision trees.
Minimum Qualifications• Education: Bachelor's in engineering (Electronics, Computer Science, Information Technology, or related field) and Business Analytics MBA/Major preferred• Relevant Experience: 2-3 years of experience in the Payment Industry.
Ideal Candidate• Proven experience designing and maintaining enterprise-grade data platforms.• Strong analytical skills with the ability to translate complex data into actionable insights.• Experience implementing advanced analytics and machine learning solutions.• Demonstrated ability to work collaboratively in agile teams.• Commitment to data governance and compliance.
Why Join Us?• Impact: Drive the future of data platforms and analytics for a leading organization.• Growth: Work with cutting-edge technologies and expand your expertise.• Collaboration: Join a team that values innovation, agility, and continuous improvement.• Flexibility: Enjoy hybrid/remote work options and a culture that supports work-life balance.
Ready to make a difference? Apply now to join our team as a Platform Engineer (L8) in Pune, India, and help shape the future of data-driven solutions.
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.
Top Skills
Hive
Java
Postgres
Python
R
SQL
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