GoogleEmployer profile

Data Engineer, Devices and Services

Location not specified · 3–83.3 yrs

Experience: 3–83.3 yrs
Salary: Not disclosed
Location: Location not specified
Work mode: Not specified
Job type: Full-time
Apply by: Closing date not listed
Posted: 11 Jan 37

About this role

Minimum qualifications:

Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Statistics, Mathematics, Engineering), or equivalent practical experience.
3 years of experience in data engineering or business intelligence roles contributing to a shared codebase.
3 years of experience in system design or in a programming language (e.g., Java, C++, Python, etc.)
Experience with relational databases including writing and optimizing SQL queries and designing schema.

Preferred qualifications:

Experience using SQL in a large-scale analytical, NoSQL, columnar context.
Experience using continuous integration and deployment systems (e.g., Cloud Build, GitLab, Jenkins).
Experience writing unit tests (e.g., PyTest, Selenium, JUnit).
Basic understanding of machine learning.

About The Job

The Platforms and Devices product area is responsible for many consumer-facing products including the Android and Chrome OS operating systems as well as many hardware and subscription products, like Pixel phones, smart home devices, and Google One. Within Platforms and Devices, the Insights and Analytics group’s mission is to use data to help make better decisions.

The Data Engineering team supports that work by building and maintaining data processing, machine learning, and automation software to solve representation, scale, and efficiency problems.

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

Gather requirements from analysts, data scientists, and business stakeholders and understand how they fit into larger business priorities.
Build, optimize, and maintain data infrastructure including large-scale data processing pipelines (e.g., ETL; BigQuery, Snowflake, Redshift and/or Dataflow, Beam, Spark Jobs), ML model training/tuning (e.g., AutoML) and inference pipelines and orchestration workflows (e.g., Cloud Composer, Airflow, Prefect).
Advocate for engineering best practices within the team and outside of it by writing and reviewing technical documentation, writing highly-readable and style-conformant code, and leading training.
Stay up to date and comply with complicated and ever-changing policy and governance requirements.

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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Skills

Project Management Consulting and Engineering