Senior Data Engineer

You will be joining Mastercard, a global technology company operating in over 200 countries and territories, empowering economies and individuals worldwide. As a Senior Data Engineer in the Data Collection & Engineering Services team, you will play a crucial role in a rapidly expanding team within a successful organization. Your responsibilities will include collaborating with experienced engineers to develop operational tools and practices that ensure service availability across hosted and cloud-based infrastructure. Your expertise in influencing and providing operational guidance will be essential in this role. Key Responsibilities: - Build tools and systems to deploy and scale applications and data in hybrid-cloud and physical environments - Enable the platform for building, testing, deploying, and hosting data pipelines across global data centers - Work on enterprise logging, monitoring, and vulnerability detection Qualifications Required: - Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent work experience - 6+ years of experience in Data Warehouse projects in a product or service-based organization - 6+ years of experience as a Software Engineer - Proficiency in solving for Scalability, Performance, and Stability - Experience in Java/Spring boot/Microservices programming languages - Proficiency in SQL and relational databases - Expertise in Linux operating systems, scripting, and environment - Experience in implementing CI/CD build pipelines using 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) Additional Company Details: Mastercard emphasizes the importance of information security for all employees. You are expected to abide by the company's security policies and practices, report any suspected information security violations, breaches, and complete all mandatory security trainings. You will be joining Mastercard, a global technology company operating in over 200 countries and territories, empowering economies and individuals worldwide. As a Senior Data Engineer in the Data Collection & Engineering Services team, you will play a crucial role in a rapidly expanding team within a successful organization. Your responsibilities will include collaborating with experienced engineers to develop operational tools and practices that ensure service availability across hosted and cloud-based infrastructure. Your expertise in influencing and providing operational guidance will be essential in this role. Key Responsibilities: - Build tools and systems to deploy and scale applications and data in hybrid-cloud and physical environments - Enable the platform for building, testing, deploying, and hosting data pipelines across global data centers - Work on enterprise logging, monitoring, and vulnerability detection Qualifications Required: - Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent work experience - 6+ years of experience in Data Warehouse projects in a product or service-based organization - 6+ years of experience as a Software Engineer - Proficiency in solving for Scalability, Performance, and Stability - Experience in Java/Spring boot/Microservices programming languages - Proficiency in SQL and relational databases - Expertise in Linux operating systems, scripting, and environment - Experience in implementing CI/CD build pipelines using 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) Additional Company Details: Mastercard emphasizes the importance of information security for all employees. You are expected to abide by the company's security policies and practices, report any suspected information security violations, breaches, and complete all mandatory security trainings.