G

Google

Runs Search and YouTube and builds Gemini AI

Data Engineer Senior Specialist - Webops, Web Analytics

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience working with advanced SQL to manipulate and manage large datasets and derive insights.
  • Strong technical expertise in building, troubleshooting, and maintaining ETL pipelines on Google Cloud Platform BigQuery, with knowledge of OLAP technologies and data warehousing.
  • Ability to handle multiple projects in a fast-paced environment.
  • Effective communication and leadership skills.
  • Strong problem-solving and analytical skills.
  • Experience implementing and working with large language models, including prompt engineering and translating business requirements into technical solutions.
  • Strong technical documentation skills, particularly in writing implementation designs.
  • Proficiency in DevOps and DataOps principles, including release management, system stability, error handling, and optimization of data processing and batching patterns.

Responsibilities

  • Develop data infrastructure to ensure stakeholders have product, support, and operations data for business decisions.
  • Oversee and review development of data infrastructure created by data engineers to ensure Cloud Marketing teams have accurate data for business decisions.
  • Act as a subject matter expert and quality auditor for a team of data engineers, and partner with the Cloud Marketing team to create data and visualization solutions.
  • Design and lead development of data solutions, and troubleshoot problems using large-scale production data infrastructure.
  • Act as a technical liaison between business and analyst teams, supervise the design of new data products, and optimize their performance.

Desired Qualifications

  • Intermediate to expert proficiency with Google Cloud Platform.
  • Build and maintain relationships with key stakeholders.
  • Identify and capitalize on technical improvement and optimization opportunities.
  • Act as a technical liaison between business teams and Engineering.
  • Supervise the design of new data products and optimize their performance.
  • Check in and peer review SQL.
  • Debug, identify root causes of, communicate, and fix data discrepancy issues.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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