Cloud AI Data Engineer II, Professional Services, Google Cloud
Austin, TX, USA · Mid
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About the role
- - Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- - 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
Responsibilities
- Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
- Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
Requirements
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
- Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
- Experience with database administration techniques or data engineering, as well as writing software in Java, Python, or SQL.
Nice to have
- Google Cloud Platform (GCP) Professional Data Engineer Certification.
- Experience in technical consulting.
- Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Google Cloud accelerates every organization's ability to digitally transform its business and industry.
Compensation
- $156k-$226k
Company info
- About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
- We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure.
- As an AI Data Engineer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform.
- Act as a trusted technical advisor to customers and solve complex Big Data challenges.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.