Data Engineer, Fleet Decision Intelligence, Google Cloud

Google is a global technology company that provides cutting-edge cloud solutions and enterprise-grade technology services.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · AI

Description For Data Engineer, Fleet Decision Intelligence, Google Cloud

Google Cloud is seeking a Data Engineer to join their Fleet Decision Intelligence team. This role combines technical expertise in data engineering with business impact, focusing on building and maintaining scalable data pipelines and analytics solutions. As a Data Engineer, you'll work with cutting-edge technology while collaborating with cross-functional teams to drive data-driven decisions. The position requires strong SQL and Python skills, with opportunities to work on large-scale data systems. Google Cloud provides enterprise-grade solutions leveraging Google's cutting-edge technology, serving customers in over 200 countries. The role offers the chance to work with diverse stakeholders, from engineers to product managers, while building solutions that impact Google's cloud infrastructure. This position is ideal for someone who combines technical depth in data engineering with strong communication skills and a desire to drive business outcomes through data-driven insights. The role provides exposure to data center technology and supply chain operations, offering a unique opportunity to impact Google Cloud's infrastructure decisions.

Last updated 19 hours ago

Responsibilities For Data Engineer, Fleet Decision Intelligence, Google Cloud

  • Design, build, and maintain scalable and reliable data pipelines
  • Write complex SQL queries for data extraction and transformation
  • Partner with business stakeholders to understand their data needs
  • Create and maintain dashboards and reports
  • Develop tools and systems to automate data processes

Requirements For Data Engineer, Fleet Decision Intelligence, Google Cloud

Python
  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
  • 3 years of experience in data analysis, database querying (e.g., SQL), and data visualization
  • 3 years of experience scripting, working with code, or system design

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