As a Data Engineer II, you will build and maintain tools for deploying and scaling data applications, focusing on service availability, CI/CD processes, and operational efficiency in hybrid cloud environments.
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
Data Engineer II
Overview
Mastercard is the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
As a Data Engineer II in Data Collection & Engineering Services, you'll hold a valued role within a rapidly growing team inside one of the world's most successful organizations, working closely with experienced and passionate engineers to solve problems customer problem. You will be partnering with the data engineering teams, so the ability to influence and provide operational guidance is key. Initially, the Developer focus will be contributing to the development of operational tools and practices that help maintain service availability across hosted and cloud-based infrastructure. You must understand the full stack and how systems are built as well as a grasp of operational best practices.
Role
As a member of the team, you will be responsible for building tools and systems that deploy and scale our applications and data in hybrid - cloud and physical - environments. We enable the platform that helps teams across multiple programs to build, test, deploy and host hundreds of data pipelines across several global data-centers along with enterprise logging, monitoring and vulnerability detection.
All About You
- At least Bachelor's degree in Computer Science, Computer Engineering or Technology related field or equivalent work experience
- 3+ years of experience in Data Warehouse related projects in product or service-based organization
- 3+ years as a Software Engineer
- Experience solving for Scalability, Performance and Stability
- Experience in a programming language in Java/Spring boot/Microservices
- Experience working in SQL and relational databases
- Expert knowledge of Linux operating systems and environment and Scripting
- Experience in implementing CI/CD build pipelines with tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef
- Good to have operational experience in Big Data Stacks (Hadoop ecosystem, Spark is a plus)
- Good to have operational experience in real-time ,streaming and data pipelines relevant frameworks (Kafka and NiFi is a plus)
- A deep expertise in your field of Software Engineering
- Expert at troubleshooting complex system and application stacks
- Operational experience troubleshooting network/server communication is a plus
- Motivation, creativity, self-direction, and desire to thrive on small project teams
- Strong written and verbal English communication skills
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
Data Engineer II
Overview
Mastercard is the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
As a Data Engineer II in Data Collection & Engineering Services, you'll hold a valued role within a rapidly growing team inside one of the world's most successful organizations, working closely with experienced and passionate engineers to solve problems customer problem. You will be partnering with the data engineering teams, so the ability to influence and provide operational guidance is key. Initially, the Developer focus will be contributing to the development of operational tools and practices that help maintain service availability across hosted and cloud-based infrastructure. You must understand the full stack and how systems are built as well as a grasp of operational best practices.
Role
As a member of the team, you will be responsible for building tools and systems that deploy and scale our applications and data in hybrid - cloud and physical - environments. We enable the platform that helps teams across multiple programs to build, test, deploy and host hundreds of data pipelines across several global data-centers along with enterprise logging, monitoring and vulnerability detection.
All About You
- At least Bachelor's degree in Computer Science, Computer Engineering or Technology related field or equivalent work experience
- 3+ years of experience in Data Warehouse related projects in product or service-based organization
- 3+ years as a Software Engineer
- Experience solving for Scalability, Performance and Stability
- Experience in a programming language in Java/Spring boot/Microservices
- Experience working in SQL and relational databases
- Expert knowledge of Linux operating systems and environment and Scripting
- Experience in implementing CI/CD build pipelines with tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef
- Good to have operational experience in Big Data Stacks (Hadoop ecosystem, Spark is a plus)
- Good to have operational experience in real-time ,streaming and data pipelines relevant frameworks (Kafka and NiFi is a plus)
- A deep expertise in your field of Software Engineering
- Expert at troubleshooting complex system and application stacks
- Operational experience troubleshooting network/server communication is a plus
- Motivation, creativity, self-direction, and desire to thrive on small project teams
- Strong written and verbal English communication skills
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.
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
