Google - Austin, TX

posted about 2 months ago

Full-time - Mid Level
Austin, TX
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. In this role, you will be responsible for developing analytics applications that deliver on-demand and predictive insights to improve Google's data center quality. You will own data engineering workstreams, including data acquisition, data pipelining, data quality, data preparation, and data warehousing. Additionally, you will lead the technical delivery, implementation, and business adoption of new scalable and reliable data analytics and business intelligence solutions for cross-functional teams. Your work will involve designing and implementing advanced analytics, machine learning models, and rich data visualizations. Engaging with stakeholders and partner teams will be crucial to gain a deep understanding of business needs and to develop innovative solutions to challenging business problems.

Responsibilities

  • Develop analytics applications to deliver on-demand and predictive insights to improve Google's data center quality.
  • Own data engineering workstreams, including data acquisition, data pipelining, data quality, data prep, and data warehousing.
  • Lead the technical delivery, implementation, and business adoption of new scalable and reliable data analytics and business intelligence solutions for cross-functional teams.
  • Design and implement advanced analytics, machine learning models, and rich data visualizations.
  • Engage stakeholders and partner teams to gain a deep understanding of business needs, and to develop innovative solutions to challenging business problems.

Requirements

  • Bachelor's degree in Electrical, Process, or Manufacturing Engineering, or equivalent practical experience.
  • 5 years of experience in manufacturing engineering.
  • 2 years of experience in development of databases, ETL, SQL, Analytics, and Machine Learning.

Nice-to-haves

  • 3 years of experience in full-stack enterprise application development.
  • Experience in hardware quality and reliability domains.
  • Excellent communication skills.

Benefits

  • Health insurance
  • 401k
  • Paid holidays
  • Flexible scheduling
  • Professional development opportunities
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