Data Engineer, Data Architecture and Engineering, gData

4 weeks ago

Dublin, Dublin City, Ireland Google Full time
Data Engineer, Data Architecture and Engineering, gData

Minimum qualifications:

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 1 year of experience in one or more object oriented programming languages (e.g., Java, C++, or Python, etc.).
  • 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).

Preferred qualifications:

  • Experience managing projects and working with analytics, software coding, or customer-side web technologies.
  • Experience using AI technologies to augment, improve or automate the development process.
  • Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.
  • Experience designing data warehouses, especially for business performance management.
  • Experience in all aspects of the software development cycle.
  • Experience in large-scale distributed data processing, including familiarity with NoSQL databases.
About The Job

gTech's Analytics, Products and Tools team (gAPT) leverages deep user insights and gen AI technology to improve or automate Google's Ads customer support experiences. gAPT partners closely with gTech's Support, Professional Services, Product Management, and Engineering teams to simplify our Ads support products and build the productivity tools ecosystem for gTech users. We are leaders of the customer experience, advocating for big-picture visions, feature requests, and offering product improvements backed by data-driven insights. Our work enables gTech teams to deliver delightful support to our customers.

Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Responsibilities
  • Acquire understanding of business processes, tools and customer expectations to drive greater impact.
  • Design, implement, test, optimize, and troubleshoot analytics and reporting solutions to solve business performance management issues.
  • Collaborate with and influence business and engineering stakeholders to ensure our data infrastructure and products meet evolving requirements.
  • Work closely with analysts to productionize analytics and reporting prototypes, and various statistical and machine learning models.
  • Write and review technical documents, including design, requirements, and process documentation.

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 our Accommodations for Applicants form.

Seniority level
  • Not Applicable
Employment type
  • Full-time
Job function
  • Project Management, Consulting, and Engineering
Industries
  • Information Services and Technology
  • Information and Internet

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