Bachelor's degree in a technical or engineering field or equivalent practical experience.
Experience with data processing software (Hadoop, Spark, Pig, Hive) and data processing algorithms (MapReduce, Flume).
Experience managing client-facing projects, technical troubleshooting, working with engineering, sales, services, and customers.
Experience in working with/on data warehouses, including technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
Experience securing data warehouses in a cloud environment.
Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase).
Experience in big data, information retrieval, data mining or machine learning.
Experience building multi-tier high availability applications with modern web technologies such as NoSQL, MongoDB, SparkML, TensorFlow.
Ability to work, communicate effectively and influence stakeholders on internal/external engineering teams, product development teams, sales ops teams and external partners and consum
About the job
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, explore and visualize data on the Google Cloud Platform. You will work on data warehouse 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 provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
Be a trusted technical advisor to customers and solve complex databases and data storage challenges.
Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
Act as a liaison for the engineering and product teams to commercialize solutions with partners and customers.
Provide technical implementation support in customer environment, including guidance on implementation feasibility of cross-product integrations.
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.
Note: By applying to this position your application is automatically submitted to the following locations:
Frankfurt, Germany; Munich, Germany