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.

Qualifications:
The successful candidate will have a minimum of eight (8) years of relevant work experience in analytics, data engineering, business intelligence, software development or related field with a proven track record of building solutions on next generation data platforms.

Additional specific qualifications include:

• Experience architecting, implementing and successfully operationalizing large scale data solutions in production environments using modern big data platforms either on premise or in the public cloud (Azure, AWS or Google) using many of the associated technologies.

• Experience with modern data warehouse technology and large scale storage including Snowflake, Azure Data Lake Store, Amazon Redshift, SQL Data Warehouse, and/or Google Big Query.

• Experience with modern ELT technologies such as Matillion, Azure Data Factory, Striim, Databricks, dbt, Attunity, Fivetran, HVR, and/or AWS Glue.

• Advanced SQL knowledge

• A strong, practical understanding of API-based integrations as well as integrations with SaaS applications

• Experience building performant data models at scale for the big data ecosystem of data stores to support different business consumption patterns off a centralized data platform.

• Experience creating data pipelines using Spark/MR/ETL processing, including Java, Python, Scala, and SQL; for data analysis of production Big Data applications.

• Experience designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments.

• Experience working with modern message bus architectures to perform integrations between applications as well as the patterns for integrating with those architectures

• Experience building data-focused applications with an understanding of the various architectural approaches

• An understanding of Master Data Management patterns and approaches

• Experience with Data Science concepts, tooling, and solutions, including an understanding of the data science lifecycle and the various approaches to each stage

Responsibilities:
The candidate will work closely with other professionals within various departments to develop data solutions to support the business. Additional specific responsibilities include:

• Serve as primary subject matter expert for the Business Intelligence team in discussions with how to access or integrate with data and processes already in place

• Drives the vision and direction of new tooling and approaches to the team’s cloud-base data architecture

• Act as a focal point for vetting requirements for data solutions with business units and technology partners.

• The ability to learn and understand the business and what makes it successful and take that understanding into account on all projects.

• Development of data models that will support both application requirements and reporting needs

• Develop business data catalogs and data marketplaces on top of next generation data platforms.

• Coordinate the build and maintenance of data pipelines and services for use by multiple business areas. The ability to also be “hands-on” is a must.

• Recognize and support adoption of best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation across the Business Intelligence team

• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

• Explore and learn the latest technologies to provide new capabilities to the business

Education:

• Bachelor’s degree in Computer Science, MIS, related technical field, or equivalent work experience.

Preferred Qualities:

• Motivated self-starter

• Meticulous detail oriented

• Consistent

• Tenacious

• Ability to manage a project

Heartland Qualities:

• Uncompromising honesty

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.