Maps Software Engineer -- Big Data/Hadoop Loc : Santa Clara Valley CA
Maps Software Engineer -- Big Data/Hadoop Loc : Santa Clara Valley CA
Posted on : 09-08-2023
Job Type : Full Time only
Salary : 100,000 - 200,000
Job Description:
Job description:
The Maps Data Insights team is chartered to look at various data signals, derive insights regarding map quality, and use those insights to drive improvements in Maps.
We are looking for talented engineers who are motivated by challenging problems and are well versed with big data technologies.
Key QualificationsProficiency with Big Data processing technologies (Hadoop, Cassandra, Spark)Experience in building data pipelines and analysis tools using Java, Scala, PythonExperience building large-scale server-side systems with distributed ?processing algorithms.
Aptitude to independently learn new technologies.
Strong problem solving skillsExperience designing or implementing systems which work with external vendors interfacesExcellent oral and written English communication skillsDescriptionThe Maps Data Insights team is chartered to look at various data signals, derive insights regarding map quality, and use those insights to drive improvements in?Maps.
Combining disparate signals such as community feedback and probe data to validate our maps is an opportunity that combines large scale data processing, analytics and visualization.
We are looking for talented engineers who are motivated by challenging problems and are well versed with big data technologies.
In this role you will be involved in the following:Development of data processing pipelines, data storage/management architectures using Big Data technologiesDevelopment of Zestful web servicesWorking with internal and external teams to drive platform architecture and design, analyzing data, and producing insights.
Successful candidates will have strong engineering skills and communication, as well as a belief that data-driven feedback leads to great products.
EducationBachelors degree in CS or equivalent Additional Requirements- Familiarity with geo spatial data- 2 - 5 years experience