Data Engineer, Data Architecture and Engineering, gData at Google
Dublin, County Dublin, Ireland -
Full Time


Start Date

Immediate

Expiry Date

09 Dec, 25

Salary

0.0

Posted On

09 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Web Technologies, Spark, Data Models, Distributed Systems, Programming Languages, Data Processing, Analytics, Software Coding, Python, C++, Business Performance Management, Computer Science, Airflow

Industry

Information Technology/IT

Description

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.

How To Apply:

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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 constantly 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
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