22 days old
2017-11-232018-01-22

Data Engineer, Consumer Hardware - Google

Mountain View, California

As a ground-floor member of the data services team within business systems for the Hardware support operations team, you will gather, assess, and manage data about every part of Google’s support operations and transform it into beautiful insights, analysis, and reporting. You are deeply comfortable with data, and love to wade into the complex details of data formatting, query massaging, and bulletproofing pipelines. You’re also a self-driven performer who takes a bit of chaos as a challenge, and you thrive on creating structure and value out of complex and ambiguous technical challenges with little guidance. On the flipside, you’re a team player with strong communications skills who’s eager to understand and work to the nuanced requirements of partners both within and outside hardware.

Google's mission is to organize the world's information and make it universally accessible and useful. Only one thing consistently stands in the way between our users and the world's information - hardware. Our Hardware team researches, designs, and develops new technologies and hardware to make our user's interaction with computing faster, more powerful, and seamless. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, our Hardware team is making people's lives better through technology.

 

Responsibilities

  • Work with non-technical business users to understand their analytical needs, document and prioritize requirements, and to help them effectively use the data and analytical tools that the team has developed.
  • Design, develop, and support data warehouses, dashboards, data pipelines, and reporting tools for operational and business impact data; Design and enforce access control for all the data.
  • Work with business stakeholders and engineer teams to validate data, identify gaps, and contribute in changes in business processes and data pipelines to fix data gaps.
  • Develop visualization based on user needs on Google dashboards or Tableau.
  • Project manage and drive analytical projects end-to-end.

Requirements

Qualifications

Minimum qualifications:

  • Bachelor’s degree with an emphasis on quantitative or technical work (Computer Science, Statistics, Mathematics) or equivalent practical experience.
  • 5 years of relevant work experience.
  • Experience in SQL and relational databases including queries, database definition and schema design. Experience designing data models and data warehouses, writing and maintaining ETLs which operate on structured and unstructured sources.
  • Experience with one or more programming languages (Python, Java, C++, Ruby, etc.). Experience with fundamental computing concepts including data structures and algorithms (including trees, graphs, file formats, algorithmic complexity).

 

Preferred Qualifications

  • Experience in one or more visualization tools such as Tableau. Experience gathering reporting and analytics requirements from stakeholders. Experience designing and executing structured analyses, deriving business insights, and evaluating the impact of business decisions; experience communicating findings to a diverse audience
  • Experience with Unix or GNU/Linux systems including shell scripting.
  • Proficiency in a language for statistical computing (R, SAS, Stata)
  • Ability to prioritize multiple conflicting priorities while driving towards pragmatic decisions/actions
  • Strong oral and written communication skills, including the ability to communicate complex findings in a structured and clear manner to a non-technical audience.

 

At Google, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. 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. If you have a disability or special need that requires accommodation, please let us know.

To all recruitment agencies Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other company location. Google is not responsible for any fees related to unsolicited resumes.

Categories

  • Data Scientist
  • Data Engineer
  • Statistician

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Data Engineer, Consumer Hardware - Google

Google
Mountain View, California

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