Position: Senior Data Engineer (Python)
Company: 3asoft
Category: Data Engineer
Experience required: 3y
English level: upper
Published: 2023-05-01T00:00:00+03:00

About the customer:

We design, develop, and maintain RYGGRAD, the metadata backbone of client's next-generation data mesh and platform. We are an autonomous, self-organized team with an agile way of working. All team members participate in defining our short- and long-term goals, with everyone's opinion being valued during our planning. We acknowledge and address tech debt early and often before it becomes a larger problem.

Together, we create a challenging but happy work environment, where we try to put you in control of your activities, and where you always have the opportunity to grow both personally and professionally.

Requirements:

- 4+ years of experience in data engineering, in large-scale, data-intensive environments
- Advanced experience with Python (Bonus: Golang, Java)
- Highly proficient in modern development practices (Git, Terraform, Docker, CI/CD).
- Experience with deploying and running software on Google Cloud Platform.
- At least upper-intermediate English level (both written and spoken)
* Bonus if you have experience with contributing to Open Source Software.

Which things are also important?

You have a strong belief in automation, but you are also not afraid of rolling up your sleeves and confirm your hypothesis manually. You take your time with discovery and exploration before writing the first lines of code and validate the value of your proposals through proof-of-concepts and close collaboration with our stakeholders, data architects, and product teams.

You consider well-written documentation as a feature and understand the value of maintaining documentation of the highest quality. You are eager to learn and share your knowledge with your team, and not hesitate to jump into an issue where you believe you can be of assistance.

Being a part of 3asoft means having:
- High level of flexibility and freedom
- p2p relationship with worldwide customers
- Competitive compensation paid in USD
- Fully remote working