Data Engineer, Fleet Decision Intelligence, Google Cloud

1 Month ago • 3 Years + • Data Analyst

Job Summary

Job Description

As a Data Engineer in Google Cloud's Fleet Decision Intelligence team, you will design, build, and maintain scalable data pipelines. You'll write complex SQL queries, conduct quantitative data analysis to inform business decisions, and partner with stakeholders to understand their data needs. Responsibilities include creating dashboards and reports, automating data processes, and communicating insights. The role requires strong SQL, scripting (e.g., Python), and data visualization skills, along with experience in data analysis and working with large datasets. Experience with machine learning model development is preferred.
Must have:
  • Bachelor's degree in CS/related field or equivalent experience
  • 3+ years data analysis, SQL, data visualization experience
  • 3+ years scripting, coding, or system design experience
  • Design, build, maintain scalable data pipelines
  • Write complex SQL queries
  • Conduct quantitative data analysis
Good to have:
  • Experience with data analysis at scale, statistics, and machine learning
  • Experience with collaborative coding and version control
  • Experience with monitoring and analysis tools
  • Familiarity with data center technology or supply chain
  • Proficiency in Python for data manipulation

Job Details

Minimum qualifications:

  • 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 (dashboards/reports).
  • 3 years of experience scripting, working with code, or system design.

Preferred qualifications:

  • Experience with data analysis at scale, including statistics, and machine learning model development (e.g., data preparation, model selection, evaluation, tuning).
  • Experience with collaborative coding and version control.
  • Experience with monitoring and analysis tools.
  • Familiarity with data center technology or supply chain.
  • Proficiency in scripting languages like Python for data manipulation, analysis, and automation.
  • Excellent communication skills, with the ability to explain technical concepts to diverse audiences.

About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Design, build, and maintain scalable and reliable data pipelines to ingest, process, and store data from diverse sources. 
  • Write complex SQL queries for data extraction and transformation, enabling both ad-hoc analysis and automated reporting. Conduct quantitative data analysis to support business decisions and identify opportunities for improvement.
  • Partner with business stakeholders to understand their data needs, translating them into actionable technical designs and solutions. This includes collaborating with engineers, program managers, and product managers.
  • Create and maintain dashboards and reports to provide actionable insights to stakeholders. Communicate insights and drive the implementation of data-driven recommendations.
  • Develop tools and systems to automate data processes, facilitate faster turnarounds, and increase overall efficiency.

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