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Python Developer with Azure @
2 weeks ago
Qualifications:
- Multi-year experience with Python in a professional environment
- Experience with cloud based solutions
- Expertise in and experience with Git, Docker, CI/CD solutions, Kubernetes, MongoDB
- Ability to work in a team, manage competing priorities, and communicate effectively
- Expertise in agile software development methodologies (e.g. SCRUM) and DevOps based development lifecycles preferred
About Us
We are Square One. For 30 years, we've specialized in IT recruitment, and we know exactly what IT experts like you need. If you're looking for new challenges, aren't afraid of skill-building projects, and want to stay on the technological cutting edge—then you've come to the right place
About the Project
Our client from the biotech sector (we'll share more details during the interview) is seeking a Mid or Senior Python Developer to join their team and have a real impact on product and company development from day one.
If you want to work with an experienced team and thrive in an environment where your ideas and initiative are highly valued, this role is for you
Expectations:
Python – Strong experience in developing and maintaining large-scale data pipelines using Python is essential.
Microsoft Azure – Candidate should be comfortable working in a cloud-based environment.
CI/CD & DevOps – Hands-on experience with Git, Docker, Kubernetes, and CI/CD pipelines.
MongoDB – Experience working with NoSQL databases is highly valued, as the role involves handling large-scale data storage and retrieval.
Terms:
- B2B contract
- Remotely
- Working on your device
- Long-term coop.
,[Maintain and develop large scale data pipelines , Innovate to increase efficiency of technical components, Gain expert knowledge in key software components & services , Conduct code reviews and guide deep technical discussions , Collaborate with colleagues across multiple product teams ] Requirements: Python, Data pipelines, Microsoft Azure, DevOps, Git, Docker, Kubernetes, CI/CD Pipelines, NoSQL, Storage, Cloud, MongoDB