Position: Senior Python Engineer
Company: Proxet
Experience required: 3y
English level: upper

Skills & Experience:

— Background in computer science or similar quantitative field;
— Expert Knowledge of Python;
— Experience with AWS;
— Experience with SQL;
— Experience with data frameworks like Spark;
— Experience developing high scale and high performance distributed systems for real-time data processing;
— ML basics experience;
— Product-focused mindset;
— Team-player with strong interpersonal skills;
— English — Upper-intermediate or above.

Будет плюсом
— Practical experience with Java is a plus;
— Experience building Data/ML pipelines;
— Practical experience with Big Data is a plus;
— Experience with Airflow is a plus;
— Experience in the advertising domain is a big plus;
— Experience with Cloud Services and DevOps process.

Предлагаем
— Challenging work in an international professional environment;
— The long-standing team as this is for a long term project;
— Competitive salary;
— Flexible work-from-home & remote work policy;
— Mastering the English language with a native speaker;
— 40-hour work week with flexible working hours;
— PE accounting and support;
— 20 paid vacation days per year;
— 14 paid sick days per year;
— Collaborative friendly team environment;
— Cozy fully equipped office space in the city center.

Обязанности
— Work with a highly skilled engineering team in all phases of the Agile development process from design through deployment;
— Design, develop, and maintain a high scale, highly performant real-time data processing solutions;
— Work with quality assurance, release engineering, and product management to deliver quality software;
— Take the initiative in the development process and working atmosphere improvements, be proactive in suggesting new vision and approaches to the platform development; anticipate in problems or issues solutions that may arise;
— Deliver constant value added performance to the business in a highly agile team approaching near-continuous deployment;
— Work closely with Data Science/Machine Learning and Data Engineering teams;
— Managing, configuring and maintaining database servers and processes;
— Support development environments.

О проекте
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