Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.
At TSYS, We are creatively and disruptively solving some of the most complex database problems related to immense growth,scaling, extremely high performance and high availability requirements. Do these types of challenges excite you?
Reporting to the Data Engineering Director, The Data Infrastructure group is responsible for building and maintaining the platforms and frameworks which drive TSYS’s data ecosystem.Some of these systems include: data replication pipelines (logging and change data capture), the Spark ecosystem and other derived data creation frameworks, the company-wide data lake, query execution systems (Presto/Trino).
Extensive experience building data platforms using technologies like Hadoop, Apache Spark, and AWS
Someone who has led teams that manage large Hadoop clusters or who have built a large scale database or data lake
Experience building scalable, reliable systems that span multiple data centers around the world and handle millions of requests every day
5+ years of experience with Python
3+ years of experience with Spark, AWS Analytics services, Kafka
3+ years of experience with Kubernetes and Helm
Knowledge and working experience in BigData tools like Cloudera Hue, Apache Zeppelin, Redash, Hive, Apache Airflow
Knowledge of Spark Internal architecture is added advantage
Jenkins automation, Shell Scripting
Global Payments Inc. is an equal opportunity employer.
Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department.