Global Payments Inc. is seeking a Data & BI Engineer to advance its data infrastructure and analytics capabilities, empowering businesses to deepen customer relationships through cutting-edge technology and data-driven insights.
Requirements
- 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.
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.
- 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)
Other
- 2-4 years of experience in data engineering or a related role, with a proven track record of success in managing complex data environments.
- Demonstrated ability to collaborate with leadership to drive data strategies.
- Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
- Previous mentorship experience within data engineering teams.
- Proven experience in a SaaS environment managing large-scale data sets.
