Senior 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. 

Job Profile - Systems Engineer IV

Qualifications
The successful candidate will have a minimum of four (4) years of relevant work experience in analytics, data engineering, business intelligence or related field with a proven track record of building solutions on cloud data platforms. 

Additional specific qualifications include:

• Proficient in SQL and Python languages

• 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 dbt, Databricks, Azure Data Factory, Striim, Attunity, Fivetran, HVR, and/or AWS Glue.

• A strong, practical understanding of API-based integrations with the ability to read to and write from APIs.

• 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 

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

• Act as a focal point for vetting requirements and prioritizing work streams 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.

• Ensure adherence to the approach of using self-service data solutions to enable others to be successful in data wrangling, data blending, and data delivery via services.

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

• Transition data storage to Cloud environments (Azure, AWS or Google).

• 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 adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

• 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

• Approachable and willing to offer helpful solutions

• Ability to search relentlessly for better solutions

• Must handle constructive feedback well<