Senior Software Engineer - Java/Spring Big Data Tooling

Key Skills

Apache Hadoop, Apache Kafka, Apache NiFi, API, Big Data Technology, Data Warehousing, Design, ETL frameworks, Java Programming, NoSQL, Oracle, REST API, RESTful, SPARK Programming, Spring Boot, SQL, Unix Operating system

Job Description

Mastercard is a global technology company behind the world’s 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 Senior Software Engineer (SSE) in Data Platform and Engineering Services, you'll have the opportunity to construct high-performance data pipelines that feed into Mastercard's Data Warehouse. This warehouse equips numerous business users to address diverse customer challenges using data-driven insights. In this dynamic environment, you'll play a pivotal role, collaborating with experienced engineers to tackle intricate problems.

**Primary Responsibilities:**

Your key responsibilities encompass the design, development, and maintenance of software applications using Java and associated technologies. In-depth familiarity with Java, API, Spring boot and SQL will contribute to your success. Preferred skills include ETL, Big Data, DWH

**Additional Expertise:**

As an SSE with full-stack Java development experience, you should also possess the following skills:

- A grasp of software design patterns and industry best practices

- Experience in full-stack Java development

- Proficiency in Spring Boot for building robust and scalable applications, Leverage Spring Boot's microservices architecture to optimize scalability and performance.

- Proficiency utilize Spring Boot's features to enhance application development, deployment, and maintenance.

- Experience developing tools/frameworks employing big data tools such as Hadoop, Spark, and Kafka - which Data Engineering team could employ to do development at scale and rapid deployment.

- Adeptness in Data Engineering and implementing end-to-end DW projects within a Big Data ecosystem

- Proficiency in database technologies encompassing SQL and NoSQL

- Practical exposure to RESTful web services and API design

- Actively participate in Agile ceremonies such as daily stand-ups, sprint planning, and retrospectives.

- Strong analytical prowess for diagnosing production issues and instituting mitigation strategies

- Effective communication skills - both written and verbal - underscored by a capacity for collaboration, relationship-building, and organizational excellence

- Ability to multitask across multiple projects, interface with internal and external stakeholders, and provide technical mentorship to junior team members

- Proactive, detail-oriented, and resourceful with the ability to thrive in a high-pressure, independent environment

- Agility in swiftly adopting and implementing novel technologies, along with a flair for conducting Proof of Concepts (POCs) to address problem statements

- Flexibility to contribute effectively within diverse, geographically dispersed, matrix-based project teams

- Familiarity with big data tooling adds to your effectiveness in this role.

- Familiarity with Oracle and Netezza databases, coupled with robust SQL knowledge

- Competence in Unix environments

- Exposure to Nifi, a valuable asset

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.