Python Engineer

Data Science & Analytics 7 months ago
Employment Information

Job description

•    Writing Clean, Readable, Testable and Reusable Code.
•    Design simple systems that are built for scale.
•    Break down complex problems in to small and simple problems.
•    Consider Software Development as a craft and keep improving everyday.
•    Working closely with other Developers, UX designers, Business and System Analysts.
•    Take part in all daily activities like Stand-ups, Iteration planning, Retrospectives.
•    Expert in Python.
•    Good Knowledge of any of the available web frameworks like Django, Flask, Tornado...etc.
•    Understanding of the Concurrency and Parallelism limitations of Python and workarounds for them.
•    Good understanding of server-side templating languages.
•    Basic understanding of front-end technologies, such as React, TypeScript/JavaScript, HTML5, and CSS3
•    Knowledge of user authentication and authorization implementation.(Oauth, SAML, OpenId,..)
•    Familiarity with event-driven programming in Python.
•    Great understanding of any of the concepts like REST, gRPC, GraphQL.
•    Able to create database schemas that represent and support business processes.
•    Strong TDD, unit test and debugging skills.
•    Proficient understanding of Git and GitHub workflows.
•    Proficient in docker usage.
•    Basic Understanding of CI/CD workflows.
•    Cloud deployment basics (AWS/Azure/GCP)
•    Golang, ROR, Kotlin, React, VueJS
•    AWS, Ansible, Kubernetes, Docker
•    Freedom to implement and follow industry best practices.
•    Get to work with the most down to earth and talented people.
•    Get to work on very interesting problems with impact in real world.
•    We are always working on bleeding edge tech stack. MicroServicesServerlesswe got you covered.
•    Open and Inclusive Environment.
•    Remote first teams.
•    Flexible timings as long as work gets done.
•    Opportunity to contribute to open-source projects.

 

Skills
Statistical Analysis Data Visualization Data Cleaning & Preprocessing Big Data Technologies (e.g., Hadoop, Spark) Predictive Modeling SQL & Database Management
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