Global Payments Inc.

Senior Data and BI Engineer

Global Payments Inc.

full-time

Posted on:

Origin:  • 🇮🇱 Israel

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Job Level

Senior

Tech Stack

BigQueryCloudETLPythonSparkSQL

About the role

  • 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
  • Mentor and guide junior data engineers and analysts, fostering a collaborative and innovative team environment

Requirements

  • Proficiency in relevant programming languages is essential
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Minimum of 5 years of experience in data engineering or a related role
  • Strong proficiency in SQL, including advanced query optimization techniques
  • Extensive experience with Python for data manipulation and automation tasks
  • Deep expertise in cloud-based data platforms, especially Google BigQuery
  • 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 senior leadership to drive data strategies
  • Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders
  • Preferred: Proven experience in a SaaS environment managing large-scale data sets
  • Preferred: Expertise in data modeling and ETL processes
  • Preferred: Experience in architecting and managing data warehouses
  • Preferred: Familiarity with additional programming languages or advanced analytics tools (e.g., R, Spark, etc.)
  • Preferred: Previous leadership or mentorship experience within data engineering teams