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Cloud Data Engineer I, Professional Services, Google Cloud

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

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.

What they're looking for

  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
  • Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript
  • Experience building and maintaining production data pipelines that rely on multiple upstream data sources
  • Experience writing automated tests and validation for data pipelines
More about this role
  • Own challenging, non-routine problems end-to-end: identify the underlying need, process complex datasets, and apply advanced data engineering, data modleing, and architectural frameworks when needed.
  • Proactively design, build, and scale innovative data products, including self-serve tools, and automated pipelines,.
  • Advance data infrastructure, product quality, and foundational understanding through automated validation frameworks, data quality, and reliabilyt monitoring.
  • Operate with a high degree of autonomy, owning complex data engineering projects from initial conception to landing and impact
  • Advocate impactful data products while contributing to a team culture that values engineering excellence, robust data, and sharp communication.
  • 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).

  • Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
  • Experience building and maintaining production data pipelines...

Read the full posting on Google's site ↗

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