Position: Data Engineer
Company: TRIDENT
Category: Data Engineer
Experience required: 3y
English level: upper
Published: 2022-06-01T00:00:00+03:00

**About Project:**  
The project's vision is to create best of class sustainable agriculture for the future by making high quality and standardized agronomic data freely available for ag professionals to translate into impact. To do that, the project is building a leading digital field trials technology that is revolutionizing data driven agriculture. The project's technology disrupts a domain where lack of common language, connectivity and data curation methodologies are significant barriers for improvements. Implementing the project solutions will allow agricultural professionals around the world to increase crops yields while reducing environmental damage and improving crop quality over time.	

**Responsibilities:**
- Explore new technologies and tools to keep us on the cutting edge. Continuously evolve yourself by keeping up to date with the latest Data Engineering technologies.
- Be a role model of engineering excellence delivering products in high quality and cadence. You will be managing our data engineering functions
- Work closely with the team to collect product feedback and think of innovative ways to solve problems, address customer needs and drive product adoption.

**Experience:**
- 3-5 years of experience in deep technical expertise in Data Engineering, DBA.
- An all-around data engineering: strong DBA background, experience in experimentation, data visualization, machine learning frameworks, optimization, and big data.
- Experience in delivering data pipelines with an expert knowledge in Redshift (ETL/ELT, Modeling, Stream/data processing technologies, and related AWS services).
- Mandatory to have a good experience in Python (PySpark) development and JS is an advantage.
- Experience in SQL/NoSQL and data modeling according to business requirements.
- Hands-on experience developing micro-services and backend API (both REST and GraphQL).
- Experience with machine learning frameworks and libraries in AWS, GCP.
- Experience with Git and PR workflow.
- Experience with Linux-based environments.
- High ability to use new technologies and understand them in depth through rapid self-learning.
- Thorough and methodical approach to any task.
- Proactive by nature; internal drive for excellence and improvement.
- BSc, MSc or equivalent experience in a quantitative field (Computer Science, Statistics,
Mathematics, Engineering, etc.).
- Creative, out-of-the-box thinking.
- Great interpersonal relations, team player

**We offer:**
- Opportunity to work remotely;
- Direct communication with Client;
- Competitive salary and benefits.
- Flexible working hours.
- Vacation – 15 working days’ annual leave.
- Paid sick days.
- State holidays are granted.
- Corporate accountant and tax refund.
- Bureaucracy-free and transparent management.