- Google Cloud Platform
Note: By applying to this position your application is automatically submitted to the following locations: Sunnyvale, CA, USA; New York, NY, USA
Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
Experience in software development life cycle. Experience in one or more programming languages such as Python, Go, Java or C++, as well as experience working with data sets using SQL.
Experience in data processing software (e.g., Hadoop, Spark, Pig, Hive) and data processing algorithms (e.g., MapReduce, Flume).
Experience with machine learning libraries (e.g., TensorFlow, Scikit-learn, Keras) or exploratory/statistical analysis using Python and R.
Experience writing, maintaining and monitoring streaming and batch ETLs operating on a variety of structured and unstructured sources.
Experience designing databases, defining and implementing system requirements for data collection.
Experience with reporting/analytic tools, data visualization or experiment design.
Excellent communication, organizational, and analytical skills. Proven ability to collaborate with internal stakeholders throughout complex projects, as well as an ability to write and review technical documentation as needed.
About the job
Our Analytics and Data Science team is responsible for the data needs of G Suite Support team, a large global support team for customers around the globe. We understand the business, produce actionable insights from support, create scalable solutions to make the organization more data-driven, and apply machine learning to drive automation.
As a Data Engineer on the G Suite team, you will handle writing extract, transform, and load (ETL) logic, managing machine learning and reporting workflows, and writing and reviewing technical documents. Close collaboration with data scientists, support/systems engineers, and other stakeholders will enable you to productionize exploratory machine learning use cases to aid experimentation and automate proven machine learning use cases. Your work with data scientists will drive operational efficiency and improve our customer's support experience.
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 — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. Responsibilities
Work with data scientists to productionize exploratory or proven machine learning use cases, and implement instrumentation to measure usage and model performance.
Write extract, transform, and load (ETL) logic to automate data collection and manage machine learning and reporting processes/pipelines including data quality and monitoring
Collaborate with data scientists, analysts, support/system engineers, and business stakeholders to ensure our data infrastructure meets constantly evolving requirements.
Contribute to the development of data and machine learning frameworks, tools, skills and culture for the team and wider Google Cloud Support organization.
Write and review technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.
At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form .