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Sr. Full Stack-Engineer

3 meses atrás

Ituiutaba, Minas Gerais, Brasil Acendeo Tempo inteiro
You will join a growing team driven by innovation, experimentation, and a deep understanding of our customers.

As a team member, you'll work closely with your cross-functional partners across Product Management, Data Engineering, and Platform Engineering as we build next-generation products.

ResponsibilitiesDesign, implement, and maintain data-driven web applications and visualizations.
Mentor members of the development team on internal and external frameworks, software development best practices, and new technologies.
Be able to gather requirements and plan actionable tasks for the team.

Identify and resolve defects of complex scope using proper engineering tools and techniques such as debuggers, emulators, simulators, and logic analyzers.

Mentor junior and mid-level engineers by providing advice, coaching, and educational opportunities to grow their technical skills.
Design and develop a component-based architect based on and React.
Demonstrate an ability to achieve stretch goals in a highly innovative and fast-paced environment.

RequirementsAt least 6 years of developing and demonstrating proficiency in Python and ReactExperience designing and leading full-stack development initiatives using microservices and other frameworks.

Advanced knowledge of Python and asynchronous programming.

Advanced knowledge of Javascript, with a deep understanding of React and associated frameworksAdvanced knowledge of building full-stack applications on Python, React, and AWS.Knowledge of AWS using Lambdas and Cognito.

Advanced knowledge using DynamoDB, Mongo, or other NoSQL experience.
Proficient knowledge of the software development life cycle (SDLC).Advanced knowledge of CI/CD concepts and demonstratable practical experience.
Proven track record of teamwork and delivery.

Experience communicating with other technical teams and senior management to collect requirements describing software product features, technical designs, and product strategy.

Nice to haveExperience with Postgres.
Experience in a fast-paced / high-growth environment.
Experience with data engineering / ETL frameworks.
Close collaboration/development experience with data engineering and data science teams