Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
2 years of relevant experience managing client-facing projects; experience troubleshooting technical issues.
Hands-on experience with database technologies (such as Teradata, Netezza, Oracle, or SQL Server) and Data Warehousing concepts.
Experience writing software in Java or Python, and SQL.
Experience working with ETL/ ELT and reporting/analytic tools.
Experience securing data warehouses in a cloud environment.
Experience designing data warehouse technical architectures and infrastructure components.
Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase).
Experience in technical consulting and working with cross-functional teams and customers.
The Google Cloud Platform team helps customers transform and evolve their business through the use of Google's global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Cloud Data Warehouse Engineer, you will guide customers on how to ingest, store, process, analyze and explore / visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects. You will work with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what's next for their business - all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And our teams are dedicated to helping our customers and developers see the benefits of our technology come to life.
Provide deep technical expertise on Google Cloud Platforms' suite of Big Data technologies including BigQuery, Looker, Pub/Sub, Dataflow, Cloud Data Fusion, Cloud Storage, Cloud Composer, and Data Catalog.
Be a trusted technical advisor to customers and solve complex large-scale data challenges.
Create and deliver best practices recommendations, tutorials, blog articles, reference code, and technical presentations, adapting to different levels of key business and technical stakeholders.
Identify and build migration accelerators to aid customers in modernizing their existing data warehouse with ease.
Travel up to 30% of the time in-region for meetings, technical reviews, and onsite delivery activities.