обновлено 1 день назад
Backend Developer (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Developer (Python): Design and build scalable, high-performance backend services, RESTful APIs, and big data processing pipelines with an accent on Python, FastAPI, MongoDB, and Apache Spark. Focus on optimizing large-scale data transformations, working with distributed private cloud clusters, and integrating modern software architectures with data and AI/LLM systems.
Location: Milan, Italy; hybrid working model
Company
is a Fortune 500 global distributor of electronic components undergoing digital transformation through data platforms and AI/LLM integrations.
What you will do
- Design, develop, and maintain backend services using Python and FastAPI.
- Build scalable, high-performance RESTful APIs for internal applications.
- Work with NoSQL databases, especially MongoDB.
- Design and optimize big data processing pipelines and large-scale transformations with Apache Spark on private cloud clusters.
- Collaborate with data, frontend, and business teams.
- Contribute to software architecture while improving system performance and reliability.
Requirements
- Strong proficiency in Python and hands-on experience with FastAPI.
- Experience with MongoDB, NoSQL databases, big data systems, and large-scale datasets.
- Proven ability to optimize data transformations using Apache Spark.
- Experience with distributed computing environments, such as private cloud clusters.
- Experience building RESTful APIs and understanding backend architectures and microservices.
- High proficiency in English, written and spoken.
Nice to have
- Experience with Neo4j or Elasticsearch.
- Knowledge of Microsoft Azure or other cloud platforms.
- Background in AI or machine learning, including PyTorch or TensorFlow.
- Experience integrating large language models and familiarity with data pipelines and analytics systems.
Culture & Benefits
- Hybrid working model.
- Supportive multicultural team environment and open-door policy.
- Tools and opportunities for career development.
- LinkedIn Learning license.
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