Wearable Telemetry Tech Lead

1 Month ago • 5-10 Years • Data Analyst

Job Summary

Job Description

As a Wearable Telemetry Tech Lead at Google, you will configure, maintain, develop, and own systems collecting data from wearable devices. This data is sent to Google backends, sanitized, organized, and visualized through dashboards or queried by analysts and engineers. You'll build and maintain internal dashboards and tools to improve data accessibility for product leads. Responsibilities include automating insights generation, improving metrics and visualizations, contributing to Wear OS app codebases, and leading a team of engineers. The role focuses on enhancing the Wear OS ecosystem by providing actionable data-driven insights.
Must have:
  • 5+ years Java software development
  • Experience with SQL, dashboards, data collection/transformation
  • Android app experience
  • Data analytics and visualization
  • Lead engineering team
Good to have:
  • Master's/PhD in CS
  • Experience with Kotlin
  • Data structures/algorithms expertise
  • Experience with Python

Job Details

Minimum qualifications:

  • Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
  • 5 years of experience with software development in Java.
  • Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g., Python).
  • Experience with the Android Apps.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  • 3 years of experience in collecting, analyzing, modeling, managing, or visualizing data or collaborating with data science/product analysts.
  • Experience for data analytics and visualization.
  • Experience in working with Kotlin.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will configure, maintain, develop and own systems that collect data from the devices, send it to Google back-ends, sanitize the data and organize the data for it to be visualized by dashboards or queried by analysts and other engineers. You will build and own internal-facing dashboards and tooling to make the data insights more accessible for product leads so that they can make decisions growing the ecosystem of Wear Operating System (OS) based devices and apps.Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

  • Automate generation of insights and discovery of patterns and trends.
  • Own and drive improvements for metrics, post-processing pipelines, alerts and visualizations.
  • Contribute to Wear OS first-party apps codebases to address metrics gaps.
  • Lead and grow a team of engineers.

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