Data Engineer I, Professional Services, Google Cloud

Google Cloud accelerates every organization's ability to digitally transform its business and industry, delivering enterprise-grade solutions that leverage Google's cutting-edge technology.
$118,000 - $174,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Cloud

Description For Data Engineer I, Professional Services, Google Cloud

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. As a Data Engineer I in Professional Services for Google Cloud, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges. In this role, you will collaborate with Google's strategic cloud customers and the team to successfully implement Google Cloud products. You'll act as a trusted technical advisor, solving complex Big Data challenges and creating best practice recommendations, tutorials, blog articles, sample code, and technical presentations. The role involves analyzing on-premises and cloud database environments and consulting on optimal design for performance and deployment on Google Cloud Platform. Travel is required up to 30% of the time for meetings, technical reviews, and onsite delivery activities. Effective communication via video conferencing is also essential. The position offers a competitive salary range of $118,000-$174,000 plus bonus, equity, and benefits.

Last updated 5 months ago

Responsibilities For Data Engineer I, Professional Services, Google Cloud

  • Act as a trusted technical advisor to customers and solve complex Big Data challenges
  • Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations
  • Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform
  • Travel regularly up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities
  • Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities

Requirements For Data Engineer I, Professional Services, Google Cloud

Python
  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
  • 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume)
  • 3 years of experience in Google Cloud
  • Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams
  • Experience programming in Python and SQL

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