Data Engineer at Global Payments

Alpharetta, Georgia, United States

Global Payments Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Payments, Merchant ServicesIndustries

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
  • 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
  • Experience with 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

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

Skills

SQL
BigQuery
Data Pipelines
Data Architecture
ETL
Data Analysis
BI Engineering

Global Payments

Payment technologies and software solutions

About Global Payments

N/AHeadquarters
N/AYear Founded
N/ACompany Stage

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