Position: Data Engineer
Company: DataArt
Category: Data Science
Experience required: 2y
English level: intermediate

About the vacancy

The client is a large international company that produces smoking substances. The company is headquartered in New York. A new project is about to start. The team will consist approximately of 10 specialists.

We hire people not for a project but for the company. If the project (or your work on it) is over you go to another project or to a paid “Idle”.

Responsibilities
- Define database engineering roadmap
- Design, code and implement software solutions
- Settle database structural requirements by analyzing customer processes, applications and programming
- Develop database solutions by crafting & modelling the proposed system
- Plan and conduct database/software-related projects
- Work on data analytics development projects requiring external collaboration to deliver needed services and products in line with timelines and quality levels required for RRP development
- Collaborate across sites or functions to generate innovative solutions and ideas for scientific/technical issues and direct vendors/external resources regarding projects or scientific/technical issues
- Design, implement and manage fast-prototyping environments enabling on-the-fly integration and subsequent analysis of a newly required dataset
- Support early detection of issues

Must have
- Degree in Computer Science, Data Science or Computer Engineering
- Demonstrated ability in Database Engineering
- Good understanding of systems and software development lifecycle
- Master SQL, Python and Git
- Collaboration, agility, strong analytical and problem-solving skills
- Ability to deal with ambiguity and to make technical decisions based on experience and technical/scientific knowledge
- Expertise in developing accurate technical recommendations, alternatives, and improvements
- Proficiency in English, both oral and written

Would be a plus
- Experience with Scala
- Good knowledge of Docker, Airflow, Snowflake, Jenkins and AWS technologies

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