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. 

Role Summary

As a Senior Software Engineer, responsible for developing and testing data pipelines from extraction to consumption for the GPN Lakehouse, including ETL process management, data modeling, and data warehouse/lake architecture. Leveraged AI/ML expertise to design intelligent pipelines, integrating machine learning models for automated data classification, anomaly detection, and data quality assessment. Applied advanced analytics and AI-powered data transformation to optimize pipeline performance and enable automated decision-making within ETL operations.

Essential Functions

Able to understand and Receive business requirements from clients via a Business Analyst/architect/development lead to successfully develop applications

Conducts and is accountable for unit testing on development assignments

Must be detail-oriented with ability to follow-through on issues. 

Must be able to work on and manage multiple tasks in addition to working with other areas within the department

Utilizes numerous sources to obtain and build development skills

Enhances existing applications to meet the needs of ongoing efforts within software platforms

Records and tracks time worked on projects and assignments

Develops a general understanding of TSYS/Global Payments, software platforms, and the credit card industry

Participates in team, department, and division meetings as required. Performs other duties as assigned

Designed, built, and maintained scalable ETL/ELT pipelines using modern tools (Apache Airflow, dbt, Spark)

Integrated and deployed machine learning models in production data workflows, collaborating with data scientists to operationalize ML models (MLOps)

Implemented AI-powered data transformation, enrichment, and intelligent data routing systems

Developed AI agents for automated data processing and natural language processing for unstructured data extraction

Established best practices for AI-enabled data pipelines and optimized data pipeline performance, reliability, and data quality standards

Skills/technical knowledge

5 to 8 years of strong development background in ETL tools like GCP-Data Flow , Pyspark , SSIS

Experience in  Google cloud platform - GCP Pub/Sub, Datastore, BigQuery, AppEngine, Compute Engine, Cloud SQL, Memory Store, Redis etc

Experience in GCP/AWS/SNOWFLAKE/AZURE is preferred  

Proficient in Java, Python , Pyspark, SQL 

Proficient in GCP-Big Query , Composer , AirFlow , Pub Sub , Cloud storage 

Experience in building tools (e.g., Maven, Gradle etc.)

Proficient in Code repo management, branching strategy, Version controlling using GIT, VSTS & Teamforge etc

Developing an application using Eclipse IDE or IntelliJ 

Excellent knowledge of Relational Databases, SQL & JDBC drivers

Experience with API Gateways - Datapower, APIM , Apigee etc

Strong analytical, planning, and organizational skills with an ability to manage competing demand

Excellent communication skills, verbal and written; should be able to collaborate across business teams (stakeholders) and other technology groups as needed.

Experience in NO-SQL databases is preferred

Exposure to Payments industry is a plus

Proficiency in AI/ML frameworks (scikit-learn, TensorFlow, PyTorch) and MLOps practices

Experience with big data technologies (Spark, Kafka, Hadoop) and data warehousing (Snowflake, Redshift, BigQuery)

Containerization knowledge (Docker, Kubernetes)

Familiarity with AI agent frameworks (LangChain, AutoGen, CrewAI), vector databases, and real-time ML inference systems

Cloud platform or AI/ML certifications preferred

Minimum Qualification

Minimum 5 to 8  years of relevant experience.

Software Engineering, Payment Information Systems or any Technical degree; additional experience in lieu of degree will be considered

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.