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описание
Do you have 5+ years of experience working as a Data Engineer in customer-facing product environments? • Can you describe a data pipeline you’ve built using Python? Please include the tools/frameworks you used • Which of the following Google Cloud Platform services have you worked with?
Kake provides consulting services that help clients build scalable, high-quality backend systems across a range of projects.
задачи
Build and maintain scalable backend services across client projects;
Design clean architecture;
Ship reliable code;
Collaborate with engineering, product, and design teams;
Develop elegant solutions for complex systems;
Participate in code reviews;
Contribute to system architecture decisions.
требования
5+ Years of professional experience writing high-quality software in Python;
Experience with FastAPI and Pydantic for performant APIs and data validation;
Strong understanding of backend architecture, performance, and testing;
Experience with PostgreSQL and other relational databases;
Familiarity with version control systems such as Git and modern development practices;
Ability to collaborate closely with engineering, product, and design teams;
Strong problem-solving and communication skills in English;
Nice to have: Experience with Django, Flask, or Pyramid; experience deploying and scaling applications on Google Cloud Platform; familiarity with Firebase for backend services or real-time data sync; exposure to data science or machine learning tools and workflows.