Google Looking For Data Engineer, Google Customer Solutions at New York, NY Full Time

Minimum qualifications:
Bachelor’s degree in Engineering, Computer Science, Information Systems, Statistics, Economics, Mathematics, Finance, a related quantitative field, or equivalent practical experience.

5 years of experience in business intelligence, data engineering, data modeling, or using analytics with SQL or an object-oriented programming language (e.g. Python, JavaScript).

Preferred qualifications:
4 years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.

Effective problem solving and analytical skills with a high degree of analytical skills. Ability to manage multiple projects and reporting simultaneously across different stakeholders.

Structured thinking with ability to easily break down complex, ambiguous problems and propose solutions through impactful data modeling designs.

Ability to explain thinking clearly and partner with teams across the business.

Ability to quickly ramp up on new technical tools and business problems.

Attention to detail and effective verbal/written communication skills.

About the job

The Business Strategy & Operations organization provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives.

At Google Customer Solutions (GCS), data and insights drive our growth. The GCS Insights team powers Google’s high growth organization. We deliver actionable business intelligence and analytics at scale utilizing a customer-centric approach.

As a Data Engineer, you will take on big data challenges in an agile way. In this role, you will use an analytical, data-driven approach to drive a deep understanding of our fast changing business. You will build data pipelines that enable engineers, analysts, and other stakeholders across the organization. You will also build data models to deliver insightful analytics while ensuring the highest standard in data integrity.

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.

Responsibilities

Build data pipelines, reports, best practices and frameworks that enable analysts and other stakeholders across the organization.

Recognize and adopt best practices in developing pipelines, analytical insights including data integrity, test design, analysis, validation and documentation.

Design and develop scalable and actionable solutions (dashboards, automated collateral, web applications) that tell a story and provide insights to help our advertisers grow.

Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our 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. 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.