Location: Bangalore
Do you want to help climate scientists and biologists to save the world by crunching data?
Earth Engine is a cloud-based platform for petabyte-scale scientific analysis and visualization of geospatial datasets, for public benefit as well as for business and government users. Our team works on everything from making Google Maps and Earth beautiful to supporting research partners who are tackling global challenges like deforestation. We're expanding our work on understanding the changes in the Earth's climate and their impact on people all over the world, and we need your help!
In this role, you will help us extend the catalog of public data stored in Earth Engine, opening up new scientific possibilities. The responsibilities include:
learning about the satellites, sensors, and the various data products that data providers release
working with the Earth Engine engineering team and external scientists to understand how the data should be structured in Earth Engine
configuring and operating data download pipelines
writing data processing pipelines to ingesting the data into Earth Engine
visualizing the results and in some cases collaborating with partner scientists to beta-test the dataset in Earth Engine before launch.
Required:
Experience with at least one programming language (1 year or more).
Basic familiarity with the command mode in Linux/Unix environments.
Extreme attention to detail. If you are the kind of person who can’t forgive a single typo in a 600-page book, we would like to work with you!
Helpful:
Expertise in Python.
Basic familiarity with Javascript.
Knowledge of the FTP and HTTP protocols.
Experience with the App Engine Datastore
Some experience with parallel data processing (e.g. MapReduce, Hadoop, Spark, etc.)
Basic data visualization (eg, Google Charts).
Please send resumes to Russel Quong (qu...@google.com).
This is a 1-year contract position, with the possibility of extending the contract for another year.