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Google Customer Engineer Data Analytics Cloud Engineering United Kingdom, England, London 932131549
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Minimum qualifications:
Preferred qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing technical or support role, with demonstrated success.
- Experience with Big Data concepts.
- Experience leading technical proof-of-concept engagements and providing technical support for bid responses and request for information/request for proposal (RFI/RFP) processes.
- Experience with machine learning platforms (e.g., Vertex AI), Machine Learning operations principles, model development, deployment, and of generative AI concepts and applications.
Preferred qualifications:
- Experience with architecture design, implementing, tuning, schema design, design technical architectures, customer requirements and query optimization of scalable and distributed systems.
- Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
- Experience with aspects of cloud computing (infrastructure, storage, platforms and data), technical business, data analytics, or Big Data and the cloud market, competitive dynamics and customer buying behavior.
- Ability to design and optimize solutions using leading data warehousing (e.g., BigQuery), data lake (e.g., Dataplex), and real-time analytics technologies.
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