Position: Data Engineer
Company: MoveUp
Category: Data Engineer
Experience required: 2y
English level: upper
Published: 2022-07-01T00:00:00+03:00

We have complex pipelines generating the data for all our ML algorithms and the production environment. We are looking for a sharp Data engineer who is enthusiastic about managing and analyzing big data flows in different environments.
This person will take full responsibility over the full data flow. Make sure that the data fits our needs, create processes to monitor and validate the data flow, create tools to improve the interaction of different teams with the data and will always be looking to improve the work processes.

You would bring:
- B.Sc. degree in Computer Science or equivalent industry experience.
- 2+ years experience in Python and Database.
- Experience in one of the cloud environments (AWS, GCP, Azure).
- Qualities: Star performer, Team player, Fast, Strong ownership, Passionate about their work, Great communicator.

Bonus:
- 4+ years of python experience
- Experience with data pipelines, MLOps.
- Experience in C/C++.
- MSc in relevant domain.

In This Role You Will:
- Be responsible for the full data creation pipeline.
- Analyze the data aggregated at different points in the pipeline and create automated tools to detect and fix problems.
- Work hand in hand with the ML engineers and analyze the ML algorithms results to detect faults / improvement suggestions in the data creation and devise the strategies for solution.
- Understand the operation of the different teams interacting with the data and will create tools and processes to ease and improve their processes.
- Analyze the data flow and performance in the actual production environment.
- Create a centralized DB tracking and managing all facets of the data.

If your experience is close but doesn’t fulfill all requirements, please apply.
We are building an outstanding company. To achieve our goals, we are focused on hiring great people with different backgrounds, perspectives, and experiences.