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Job Description

  • Collaborate with manufacturing partners and Engineering teams in structuring the data content and data pipelines.
  • Architecting, designing, developing, testing and maintaining database software applications on GCP.
  • Architect and Create managed Databases on GCP. Design and Develop software applications for ETL pipeline.
  • Follow the software development standards and implement best practices in documenting user requirements, design, coding and testing of database solution.
  • Partner with cross-functional teams, leadership, engineers, program managers, and data scientists to understand business and application needs.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience in creating and managing managed databases on Google Cloud Platform (GCP) like Cloud SQL, AlloyDB, Cloud Spanner, and Cloud Bigtable.
  • 5 years of experience in developing ETL software solutions using C, C++, software frameworks, and Python.
  • 5 years of experience developing automation using Terraform.
  • 5 years of experience in developing analytical reports and dashboards.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience architecting and developing robust database solutions tailored for the component suppliers and subassembly houses.
  • 3 years of experience leveraging AI/ML methods, specifically utilizing Gemini, to drive technical excellence and improve system productivity.
  • 3 years of experience using Docker containers.
  • 3 years of experience with semiconductor software systems.
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience in creating and managing managed databases on Google Cloud Platform (GCP) like Cloud SQL, AlloyDB, Cloud Spanner, and Cloud Bigtable.
  • 5 years of experience in developing ETL software solutions using C, C++, software frameworks, and Python.
  • 5 years of experience developing automation using Terraform.
  • 5 years of experience in developing analytical reports and dashboards.
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  • Role Software Engineer, IT Infrastructure
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

Job Overview

Approx. salary range

189K – 287K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 51 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
23 hours ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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