Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Redwood City, CA, USA; New York, NY, USA; San Francisco, CA, USA .
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- Experience designing data models, data warehouses, and using SQL and NoSQL database management systems along with data processing using traditional and distributed systems (e.g., Hadoop, Spark, Dataflow, Airflow).
- Experience in one or more object oriented programming languages (e.g., Java, C++, or Python).
Preferred Qualifications
- Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
- 2 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
- 2 years of experience in a customer-facing role.
- Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.
- Experience in distributed data processing and Unix or GNU/Linux systems.
About The Job
Google Customer Solutions is harnessing the power of artificial intelligence to build intelligent solutions that enable GCS to grow smarter and faster. AI-driven tools and systems can help automate repetitive tasks, improve decision-making processes, and unlock valuable insights from large volumes of data. Embracing AI as a strategic cornerstone for growth will empower GCS to thrive in an increasingly competitive market and unlock new opportunities for success.
As a Data Engineer, you will take on data challenges in an agile way. In this role, you will use an analytical, data-driven approach to drive a deep understanding of fast changing business. You will build data pipelines and reporting tools that enable engineers, analysts, and data science teams through feature engineering, automated data extracts, wrangling needs, and scaled insights for both the data science team and their users.
When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the "human face" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses.
The US base salary range for this full-time position is $93,500-$135,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Build data pipelines, reports, and frameworks that enable analysts and other stakeholders across the organization.
- Recognize and adopt best practices in developing pipelines, analytical insights, data integrity, test design, analysis, validation, and documentation.
- Design and develop scalable and actionable solutions (e.g., dashboards, automated collateral, web applications) that tell a story and provide insights to help advertisers grow.
- Work with various stakeholders to understand feature/tooling gaps and innovate on behalf of customers.
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.
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