About BeeHero:
BeeHero was founded in 2017 by a team of veteran beekeepers, serial
entrepreneurs, renowned biologists, and data scientists to ensure that
everyone wins: farmers, beekeepers, and nature.
Our Mission:
To reimagine pollination and beekeeping in commercial agriculture by
leveraging data-driven technology to deliver predictability and precision to
the process.
About The Role:
The Data Engineer will be responsible for building efficient and robust data pipelines and infrastructure to support the deployment and tracking of machine learning models, as well as serving as a technical lead for the research team's infrastructure. In this role, you will also work closely with the infrastructure development team on the integration between the research resources and databases and other company resources.
As part of this role, you will:
- Serve as a technical lead for the research team's infrastructure, providing guidance and support to team members
- Design and implement data pipelines to ingest and process large volumes of IoT data from various sources using Python and cloud-based technologies
- Develop and maintain data models and ETL processes to support business reporting and analytics
- Collaborate with data scientists to deploy and track machine learning models in production
- Manage and optimize database systems to ensure data integrity and performance
- Work closely with the infrastructure development team on the integration between the research resources and databases and other company resources
- Stay up-to-date with the latest technologies and best practices in data engineering
Requirements:
- At least 5 years of software development experience
- Proficiency in SQL and NoSQL databases
- Experience with cloud-based data storage and processing platforms
- Strong understanding of data modeling, ETL, and data warehousing concepts
- Experience with machine learning model deployment and tracking tools
- Ability to work independently and as part of a team
- Excellent problem-solving and communication skills
