Data Engineer at Global Payments Inc.

Description

About Us:

Global Payments Inc is a globally leading fintech company with an emphasis on merchant based services such as payment processing, merchant hardware and SaaS based software solutions to assist with running and growing businesses. The Customer Engagement business unit in Merchant Technology especially focuses on such SaaS based software meant to run and grow merchants’ businesses. We empower businesses to deepen customer relationships through cutting-edge technology and data-driven insights. As we continue to innovate and grow, we are seeking a highly skilled Data & BI Engineer to take a leading role in advancing our data infrastructure and analytics capabilities.

Job Description:

As a Data & BI Engineer at Global Payments, you will be pivotal in shaping the data architecture and analytics strategies that drive critical business decisions. You will lead the development and maintenance of scalable, efficient data pipelines and ensure the accuracy, accessibility, and security of our data. Your collaborative efforts with cross-functional teams and mentorship of junior team members will be key to fostering a data-driven culture.

Key Responsibilities:

• Lead the design, implementation, and optimization of efficient, secure, and scalable data pipelines.
• Develop and refine complex SQL queries for data analysis, ensuring performance optimization.
• Integrate BigQuery for handling large-scale data analytics and cloud services.
• Utilize Python and other programming languages to automate data processes and ensure seamless data manipulation.
• Partner with business stakeholders to understand data needs, providing strategic insights and data-driven solutions.
• Develop, optimize, and maintain Looker dashboards to provide clear, actionable business insights.
• Implement data governance standards to ensure data accuracy, security, and compliance with industry regulations.
• Exploration and integration of AI into data solutions, pipelines, etc. (Example: Looker data agents)
• Mentor and guide junior data engineers and analysts, fostering a collaborative and innovative team environment.
  
  

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 2-4 years of experience in data engineering or a related role, with a proven track record of success in managing complex data environments.
• Experience with the following:
• Strong proficiency in SQL, including advanced query optimization techniques.
• Experience with Python for data manipulation and automation tasks.
• Experience with Java, C#, Scala, or other statically-typed programming languages in a work setting
• NoSQL (Mongo or similar)
• Expertise in cloud-based data platforms, especially Google BigQuery.
• Experience with Apache Spark, Apache Flink, Apache Kafka, Apache Airflow or other similar Big Data technologies.
• Proficient with Looker or similar BI tools for building and optimizing dashboards.
• Strong understanding of data governance, security, and compliance best practices.
• Demonstrated ability to collaborate with leadership to drive data strategies.
• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
  
  

Preferred Skills:

• Proven experience in a SaaS environment managing large-scale data sets.
• Expertise in data modeling and ETL processes.
• Experience in architecting and managing data warehouses.
• Familiarity with additional programming languages or advanced analytics tools (e.g., R, Spark, etc.) is a plus.
• Proficiency in Data Science disciplines and hands-on experience with LLM Engines implementation within different processes and services, Agents in pipelines and BI.
• Previous mentorship experience within data engineering teams.