Cloud Data Engineer for AI & Big Data — 30% Travel

Google LLC

Chicago (IL)

Hybrid

USD 130,000 - 187,000

Full time

29 hours ago
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Job summary

Google Cloud Consulting Professional Services helps customers transform their data and leverage Google Cloud Platform to enable growth and innovation. As a Data Engineer, you’ll guide customers to ingest, store, process, analyze, explore, and visualize data on Google Cloud, leading migrations, architecting scalable pipelines, and solving platform challenges.

You will collaborate with Google’s strategic cloud customers and teams to deliver production-grade Big Data solutions, including data

Qualifications

  • Bachelor's degree or equivalent practical experience in CS or related field.
  • 5 years experience with data processing software and algorithms.
  • Experience managing client-facing projects and collaborating with Engineering and Sales Services.
  • Experience with database administration or data engineering and coding in Java, Python, or SQL.

Responsibilities

  • Act as a trusted technical advisor to customers and solve complex Big Data and AI 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.

Skills

Data processing
Big Data
Java
Python
SQL
Project management
Client-facing

Education

Bachelor's degree in Computer Science, a related field, or equivalent practical experience

Tools

Spark
Beam
SQL

Job description

Google Cloud Consulting Professional Services helps customers transform their data and leverage Google Cloud Platform to enable growth and innovation. As a Data Engineer, you’ll guide customers to ingest, store, process, analyze, explore, and visualize data on Google Cloud, leading migrations, architecting scalable pipelines, and solving platform challenges.

You will collaborate with Google’s strategic cloud customers and teams to deliver production-grade Big Data solutions, including data

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