We are helping to find a data engineer (Middle, Middle+) for our customer (startup – the performance marketing and traffic marketing team focuses on scaling marketing campaigns using artificial intelligence automation).

About the role

We expand our data and AI team and search for a skilled data engineer with a strong background for the background biton that has moved to data engineering. This role is ideal for a person who has started as a rear developer (Python) and has at least practical experience in data engineering, and is now aimed at growing in this field.

You will work closely with the current data engineer and artificial intelligence engineer to create a developmentable data platforms, pipelines and services. This is the position of high independence within a young team, as it will affect data infrastructure decisions, design systems from zero point, and help in forming our data -based foundation.

Main responsibilities

• Design and lines of data pipelines and maintenance to support analysis solutions, ML and AI.
• Working with distributed systems, improving data processing, and dealing with the burden of data work on a large scale.
• Cooperation with artificial intelligence engineers to support the integration of models (support for ML models, not full publishing responsibility).
• Design solutions for mysterious or high -level business requirements with strong problem -solving skills.
• Contribute to building a developmentable data platform and assisting in determining best practices for data engineering in the company.
  Participate in fast preliminary models (POCS and MVPS), spread early solutions, and repeat quickly.

requirements

• 4 years of professional experience (with at least one year dedicated to data engineering).
• Strong Bython Backing Development Experience (Create Service, Application Interviews).
• A good understanding of data processing concepts, distributed systems, and system development.
• Experience with cloud platforms (favorite AWS, acceptable GCP).
• Insword with Docker and container environments.
• Experience with Spark and Kubernetes and improve high loading systems.
• The ability to deal with loose requirements, suggest solutions, and work independently.
• Premium mentality – technical initiatives associated with the impact of business high value.
• The English language is sufficient to read technical documents (work language: Ukrainian/Russian).

Cute

• Exposure to development in the front end (Javascript/Typescript)-not required, but plus.
• Experience with developable data structures, flow processing and data modeling.
• Understanding the effect of business on technical improvements.

Team and operation

• It will join the data and AI data department in charge of data infrastructure, artificial intelligence agents and analysis systems.
  Two stages of the interview:
• Technical interview (Peton and Data Engineering).
• Cultural appropriate interview (expectations, job growth, alignment).
• Self -rule and freedom of decision -making in a small, rapidly -move team.