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About us:
Viridios AI is at the forefront of solutions for the climate and sustainability markets. We have developed AI-based fair valuation and risk management models that solves a major problem in value transparency and is quickly becoming the market reference for fair prices of carbon credits (offsets), from forestry and agriculture to renewable energy and energy efficiency activities worldwide. There is much to do when it comes to applying technology in going right by the planet and its inhabitants, and we are always looking for highly talented iniduals to join us in this journey.
About the role:
For this role, we are looking for an enthusiastic and experienced Data Engineer to join a highly qualified team with domain expertise and years of experience in markets and technology. This is your opportunity to grow into and contribute to some of the most prominent and important themes of our age: climate, sustainability and AI. This is a full time permanent position. You will report to the CTO, Viridios AI. You will be working remotely.
Responsibilities:
- Create and maintain optimal data pipeline architecture
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data quality, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and NoSQL database technologies
- Create data tools for data scientist team members that assist them in building and optimizing our products into an innovative industry leader
- Work with data and analytics experts to strive for greater functionality in our data systems
Requirements:
- Bachelor's degree in a technical subject (e.g., technology, computer science, engineering, physics, mathematics, etc.)
- Advanced experience with Relational (Oracle, MariaDB, PostgreSQL, etc.) and NoSQL databases (MongoDB, Redis, etc.)
- Experience Building processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience with building and optimizing data pipelines, architectures and data sets
- Experience with Unix shell scripting
- Experience with Python 3.x
- Experience with REST APIs
- Fast learner, capable of quickly gaining domain expertise in the highly complex climate and sustainability markets
- Clear analytical and problem-solving skills with the ability to envision and propose new and creative ways to solutions
- Passion for technology and issues related to climate and sustainability markets
- Ability to work well with teams in a collaborative way
- Exceptional business and technical communication in English, verbal and written
Great to have:
- Experience with Google Cloud Data Technologies (BigQuery, Cloud Storage, Cloud SQL, etc.)
- Experience with writing production quality code (i.e. code that can be deployed to Cloud)
- Data engineering certification (e.g. IBM Certified Data Engineer)
What We Offer:
- Competitive base compensation
- Annual cash bonus
- Employee stock allocated upfront in a early stage company with tremendous upside
- A vibrant and creative work environment
- Exposure to one of the most exciting sectors today
