Minimum qualifications: + Bachelor's degree or equivalent practical experience. + 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.). + 5 years of experience coding in one or more programming languages (e.g., SQL, Python). + 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. Preferred qualifications: + 5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, Data Studio, and business intelligence platforms. + 3 years of experience developing project plans and delivering projects on time within budget and scope. + 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers. + Experience with Machine Learning for production workflows. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. + Design, build, optimize, and maintain batch and real-time pipelines to ingest, process, and transform data sources. + Develop and manage logical and physical data models within data warehouses or data lakes, ensuring data is structured efficiently, reporting, machine learning model training, and operational use. + Implement robust monitoring and data quality checks with accuracy with completeness. + Collaborate with platform engineers to optimize data storage, retrieval, and processing performance, delivering effective growing data volumes and query complexity. + Work closely with data scientists, analysts, product managers, and policy specialists to understand their data requirements and deliver effective data solutions. Provide support for data access and tooling. Implement and adhere to data security best practices and privacy regulations ensuring data infrastructure is secure and compliant. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.