Senior Software Development Engineer

6 to 8 years’ experience working in software application development as a programmer
Strong and solid knowledge of software engineering principles and practices
Proven experience in developing data processing applications using Scala, Python 3.10+
Strong understanding of software engineering best practices, design patterns, and the ability to write highly maintainable and readable code
Demonstrated professional expertise in understanding and implementing OO design patterns, developing container-based applications in a microservices architecture, using the state-of-the-art software engineering best practices
Curious, and eager to learn, willing to expand its technical skills while helping other team members to grow
Expertise with Big Data Hadoop platforms like Databricks, Cloudera, Teradata, etc. and solid fundamental understanding of the Hadoop architecture
Creativity and passion for tackling challenging data problems and complex algorithmic issues, and willingness to work in a start-up environment
Experience with Git or other similar version control software
Experience and commitment in developing high quality, robust, scalable, and maintainable software. Knowledge of testing frameworks, CI/CD, test automation, and software monitoring and alerting
Experience working in a high performant collaborative agile team environment
Strong communication and interpersonal skills

Work with teams across the company to implement new data solutions while maintaining the stability of the platform
Work within the Fraud Data Engineering team to grow their knowledge and expertise
Work with extremely large data sets and be on the cutting edge of transforming the way Mastercard captures, processes, stores and visualizes transactional data

Experience working with relational and NoSQL databases (such as tuning and optimizing complex queries for highly scalable systems) and query languages (specifically Hive/SparkSQL and ANSI SQL)
Experience building large scale Spark 3.x applications & data pipelines, ideally with Batch processing running on Hadoop clusters
Experience with messaging queues such as Kafka, RabbitMQ or JMS and reactive architecture paradigm
Experience designing and developing highly available fault tolerant software
Experience in architecture and development of data models and data dictionaries in big data systems
Familiar with at least one large cloud computing provider like Azure, AWS, or IBM cloud, in this order of preference
Experience designing and implementing highly secure software and solutions. Knowledge with secure vulnerability tools such as Checkmarx
Proven hands-on coding experience with data analytics platforms and workflow engines
Experience in operating a UNIX shell and reading and developing simple shell scripts
1-2 years’ experience designing software systems, and mentoring junior software engineers