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Data Engineer, Trust and Safety Consumer Analytics

Google is a global technology company that specializes in internet-related services and products, including search, cloud computing, software, and hardware.
$108,000 - $158,000
Data
Mid-Level Software Engineer
4+ years of experience
AI
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Description For Data Engineer, Trust and Safety Consumer Analytics

In this role, you will be responsible for designing and developing the data infrastructure needed to support metrics and measurement capabilities for Trust and Safety across various Google products, including Search, Ads, Shopping, Publishers, and YouTube. You will ensure stakeholders have the product, support, and operations data they need to make crucial business decisions. You will have the opportunity to design innovative data solutions and solve challenging problems using Google's production data infrastructure to drive business optimization and meet regulatory reporting requirements.

At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities: • Design, implement, test, optimize, and troubleshoot analytics and reporting solutions to solve business performance management challenges as well as meet regulatory reporting requirements. • Collaborate with and influence business and engineering stakeholders to ensure our data infrastructure and products meets constantly evolving requirements. • Work with analysts to produce analytics and reporting prototypes, and various statistical and machine learning models. • Design, implement and own technical implementation of production-level data pipelines, documentation, check-in process, etc. Write and review technical documents including design, requirements, and process documentation. • Acquire understanding of business processes, tools and customer expectations, and design and develop scalable data infrastructure to support reporting needs.

Last updated 8 months ago

Responsibilities For Data Engineer, Trust and Safety Consumer Analytics

  • Design, implement, test, optimize, and troubleshoot analytics and reporting solutions
  • Collaborate with and influence business and engineering stakeholders
  • Work with analysts to produce analytics and reporting prototypes, and various statistical and machine learning models
  • Design, implement and own technical implementation of production-level data pipelines
  • Acquire understanding of business processes, tools and customer expectations, and design and develop scalable data infrastructure

Requirements For Data Engineer, Trust and Safety Consumer Analytics

Python
  • Bachelor's degree or equivalent practical experience
  • 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields
  • 3 years of experience working with business analytics or data analysis
  • Experience in coding and with SQL, Python, or R

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