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Mastercard

Lead BizOps Engineer

Reposted Yesterday
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Pune, Maharashtra
Mid level
Pune, Maharashtra
Mid level
The Lead BizOps Engineer will enhance the lifecycle of services through engagement in design, deployment, and monitoring. They will analyze platform activities, support the application CI/CD pipeline, practice incident response, and work with global teams to advocate for automation and operational excellence.
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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

Lead BizOps Engineer

The Enterprise Data Solutions BizOps team is looking for a Site Reliability Engineer who can help us solve problems and play a key role in our daily operations.
- Are you a born problem solver who loves to figure out how something works?
- Are you a CI/CD geek who loves all things automation?
- Do you have a low tolerance for manual work and look to automate everything you can?
Business Operations is leading the DevOps transformation at Mastercard through our tooling and by being an advocate for change & standards throughout the development, quality, release, and product organizations. We need team members with an appetite for change and pushing the boundaries of what can be done with automation. Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must.
Responsibilities
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Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation and refinement.
Analyze ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns
Support services before they go live through activities such as system design consulting, capacity planning and launch reviews.
Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead Mastercard in DevOps automation and best practices.
Practice sustainable incident response and blameless postmortems.
Take a holistic approach to problem solving, by connecting the dots during a production event thru the various
technology stack that makes up the platform, to optimize mean time to recover
Work with a global team spread across tech hubs in multiple geographies and time zones.
Role Qualifications
Job Summary: We are looking for a highly skilled and experienced Senior Engineer to join our Hadoop BizOps team. The ideal candidate will have a strong background in Big Data technologies and a proven track record of managing and optimizing Hadoop clusters. This role will involve working closely with various departments to support the DPES Program and other related initiatives.
Key Responsibilities:
• Manage and optimize Hadoop clusters to ensure high availability and performance.
• Collaborate with cross-functional teams to support the all the Clusters managed by DPES program.
• Migration of Data sets from HDFS to Ozone.
• Implement and maintain automation scripts for Hadoop cluster management.
• Monitor and troubleshoot Hadoop cluster issues and provide timely resolutions.
• Ensure compliance with security and data governance policies.
• Provide technical guidance and mentorship to junior team members.
Required Qualifications:
• Bachelor’s degree in computer science, Information Technology, or a related field.
• Minimum of 5 years of experience in managing Hadoop clusters.
• Strong knowledge of Big Data technologies such as Hadoop, Spark, Hive, and Kafka.
• Proficiency in scripting languages such as Python and Shell.
• Experience with automation tools and frameworks.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
Preferred Qualifications:
• Master's degree in a related field.
• Experience with cloud-based Hadoop solutions.
• Knowledge of data governance and security best practices.
• Certification in Big Data technologies

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

Automation
Ci/Cd
Cloud
Itsm
Site Reliability Engineering

Mastercard Pune, Mahārāshtra, IND Office

Poona Club Road, Pune, Maharashtra, India, 411001

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