Senior Python Engineer – Data

🕒 4 dias atrás

🇵🇰 Paquistão – Remoto

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

👻 Score fantasma 16%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 4 dias.
• As vagas desta empresa costumam ser preenchidas em 97 dias.
• Sem salário divulgado.

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Smart Working

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

📣 Marketing

Consulting • Healthcare • Marketing

Smart Working é um serviço de recrutamento especializado em identificar e fornecer desenvolvedores de software de alto nível, do mundo todo, para atender às necessidades das empresas. Com um processo de triagem robusto que inclui avaliações técnicas e verificações de antecedentes, a Smart Working garante que os clientes recebam profissionais altamente qualificados, com domínio de diversas linguagens de programação e frameworks. A empresa foca em soluções de contratação flexíveis e remotas, permitindo que os negócios escalem suas equipes de desenvolvimento com eficiência, ao mesmo tempo em que alcançam economias significativas de custos.

Descrição

• Design, build and maintain reliable data pipelines in Python on AWS • Build and maintain backend services and APIs using Django and FastAPI • Model, query and optimise data across PostgreSQL and search/NoSQL databases, including OpenSearch, Elasticsearch and DynamoDB • Deploy and run services on Kubernetes, working alongside the DevOps engineer • Take end-to-end ownership of assigned work, including design, testing, code reviews, releases and production support • Collaborate with the engineering team and DevOps/SRE engineer on infrastructure and releases • Maintain high standards of data quality, correctness and testing while understanding how data pipelines contribute to the wider product • Follow established engineering practices, including code reviews and CI/CD, while adapting to changing priorities • Proactively identify problems, propose solutions and challenge technical decisions when necessary • Prioritise thoroughness, reliability and production stability when developing and maintaining data pipelines and data stores

🎯 Requisitos

• 6+ years of experience in software engineering, including 5+ years of commercial Python development • 5+ years of Python backend development experience • 3+ years of experience in data pipelines and data engineering, including ETL/ELT processes and batch processing • Experience with Airflow, Dagster, Prefect, AWS Glue and Step Functions, or equivalent technologies • 3+ years of AWS experience developing and maintaining cloud-based backend services and data pipelines • 3+ years of experience with Python web frameworks, particularly Django or FastAPI; Flask acceptable • 3+ years of PostgreSQL experience, including data modelling, querying and optimisation • 2+ years of experience with non-relational or search databases, such as Elasticsearch, OpenSearch or DynamoDB; MongoDB, Redis and Cassandra alternatives • 2+ years of Kubernetes experience, including deploying and running services; Docker with ECS or EKS may be considered • Ability to independently own technical tasks from design through implementation, testing, release and production support • Strong attention to data quality, correctness, testing and production reliability • Ability to collaborate with engineering and infrastructure teams while independently proposing solutions and challenging decisions • Ability to follow engineering practices and adapt to changing priorities

🏖️ Benefícios

• Full-time, long-term role • Fully remote work • Genuine community focused on growth and well-being • Remote-first work environment • Opportunities for personal and professional growth

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