Data Engineer

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. 

Be part of our international team, apply today and join our award-winning Fortune 500® company!

TSYS is seeking Data Engineers to join our PRIME Data Engineering team in Nicosia, Cyprus. 

Key Responsibilities:

• Design, develop, implement, test, document, and operate large-scale, high-volume, data structures for analytics and deep learning. 

• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and Big data tools, logical abstraction layer against large, multi-dimensional datasets and multiple sources.

• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. 

• Produce comprehensive, usable dataset documentation and metadata. 

• Provide input and recommendations on technical issues to the project manager

Key Requirements:

• Educated to degree level or experience in lieu of degree.

• 2+ years of experience with detailed knowledge of data warehouse technical architectures, data warehouse concepts, infrastructure components, ETL/ ELT and reporting/analytic tools.

• 2+ years of experience with a very large data warehousing environment.

• 1+ year of dbt coding development experience.

• 1+ year of experience in data modeling concepts.

• 1+ year of Python coding development experience.

• 1+ year experience in Big Data stack environments (Spark, Hadoop, Hive).

• Good analytical skills with excellent knowledge of SQL.

• Experience in writing Spark ETL jobs.

• Experience using software version control tools (Git, Jenkins, Apache Subversion).

• Work with CI and CD tools, Nexus, Docker, ArgoCD

• Demonstrated strength in architecting data warehouse solutions and integrating technical components.

• Experience with Kafka and AWS tool stack such as Redshift and Kinesis are preferred.

• Excellent communication skills, both written and verbal.

TSYS offers structured career development, supported by training that provides the opportunity to learn and develop.

In addition to a competitive salary, you’ll have access to an excellent benefits package, including:

• Private medical insurance for you and your family, non-contributory, in and out patient cover

• A well-established, strong provident fund

• Life insurance (3x base salary)

• 21.5 days’ holiday, plus 14 public / bank holidays

• Flexible working (hybrid model – part from home, part from office)

• Wellbeing initiatives with access to support services

• On-site subsidized canteen & barista

• Modern offices opposite the Mall of Cyprus with gym and showers, games room (pool table, table tennis, darts, table football, play station) & prayer/meditation room

• Store discounts

• Regular social events and charitable initiatives to give back to our community.

To apply for this position, please visit our website www.globalpayments.com/about-us/careers and apply through the online system. All applications will be treated in the strictest confidence.

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. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpay.com.