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Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Requirements

• 5 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
• Experience writing software in Java, C++ and Python.
• Experience working with data warehouses, data lake, lake house including data technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
• Experience working with Big Data, information retrieval, data mining, or machine learning.
• Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
• Experience managing client-facing projects, troubleshooting technical issues, and working with Developer and Sales Services teams.

Responsibilities

• Guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform.
• Lead data migrations and transformations.
• Partner with clients to design scalable data processing systems.
• Build efficient data pipelines.
• Resolve platform challenges.
• Collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.
• Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.

Other

• 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, tailoring approach and messaging to varied levels of business and technical stakeholders.
• Travel regularly up to 30% of the time as needed, in-region for meetings, technical reviews, and onsite delivery activities.
• Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.
• Experience in technical consulting.