San Francisco, CA 94111, United States
April 1, 2022
Apply NowJob description
What You Will Do:
- Create, maintain, and deploy Python packages for existing research code repositories.
- Implement scalable data-intensive processing pipelines that applies geospatial data to ML/DL models.
- Develop new data visualization tooling and notebooks to be used for exploratory data analysis.
- Develop Spark functionality into existing Python tooling.
- Conduct reviews and walkthroughs of existing code repositories with team members.
- Write beautiful, robust, well-documented code.
- Transition exploratory research into scalable processing pipelines for further development.
- Collaborate with engineering teams (internal stakeholders and external partners) working with geospatial platforms to implement models and algorithms at scale for production.
- B.S./B.A. in Computer Science, Engineering or related field.
- Experience working and visualization of geospatial datasets and maps.
- Excellent communication and collaboration skills.
- Strong development experience in Python, Git, and Docker.
- Ability to write queries either in SQL, NoSQL and Big Query to perform ETL on datasets.
- Diverse data structure experience.
- Experience working with cloud tools such as AWS, Azure, or Domino.
- Experience with PySpark and handling large datasets.
- Experience with web services, api and database design.
- Ability to handle multiple, competing priorities in a fast-paced development environment.
