Strategic Data Engineer, Professional Services, Google Cloud

A person with disabilities will be given preferential consideration per local regulations.

Minimum qualifications:

• Bachelor's degree in a technical or engineering field or equivalent practical experience.
• Experience with data processing software and data processing algorithms.
• Experience in writing software in one or more languages and working with technical customers.
• Experience in Big Data within the cloud, including data analytics/warehousing, and with database design/querying.

Preferred qualifications:

• Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
• Experience in Big Data, information retrieval, data mining, or machine learning.
• Experience in building multi-tier, high-availability applications with modern web technologies (such as NoSQL, MongoDB, SparkML, TensorFlow, etc.).
• Experience in architecting, developing software, or internet-scale, production-grade Big Data solutions in virtualized environments.
• Ability to work, communicate effectively and influence stakeholders on internal/external engineering teams, product development teams, sales operations teams, and external partners and consumers.

About the job

The Google Cloud Platform team helps customers transform 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. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Data Engineer for Google Cloud you'll guide customers on how to ingest, store, process, analyze, and explore data on the Google Cloud Platform. You will work on data migrations and transformational projects. You will also work with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. You'll 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 accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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.

Responsibilities

• 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 highly technical implementation support in customer environment, including guidance on implementation feasibility of cross-product integrations.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a disability or special need that requires accommodation, please let us know by completing our .

Fecha de publicación: 09/08/2022