Python Developer – Senior

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nagro Crédito Agro

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🌾 Agriculture

💳 Fintech

💸 Finance

Agriculture • Fintech • Finance

Nagro Crédito Agro is a Brazilian fintech lender focused on providing 100% digital credit and financing solutions tailored to rural producers and agribusiness. The company uses algorithms and artificial intelligence to analyze individualized credit profiles and deliver fast credit decisions (often within 48 hours), offering personalized loan products, digital onboarding, and an emphasis on relationship management for farmers. Nagro operates as a banking correspondent and originator of agricultural receivables investment funds, partnering with licensed financial institutions rather than acting as a bank itself.

📋 Description

• Design, develop, and enhance data collection, processing, and integration systems using Python, ensuring scalability, resilience, and high performance • Lead technical initiatives from solution design through implementation, testing, and production rollout • Develop automated data collection solutions using web scraping, web crawling, browser automation, API consumption, and integration with external sources • Build large-scale data collection architectures, considering parallelism, concurrency, session management, and resource efficiency • Develop strategies for extracting data from dynamic websites, JavaScript applications, and structured and unstructured documents • Build pipelines for the extraction, transformation, normalization, validation, and enrichment of large data volumes • Identify and resolve performance bottlenecks, optimizing throughput, latency, memory usage, and operating costs • Implement resilience mechanisms such as retries, timeouts, backoff, idempotency, and failure recovery • Evolve the architecture of Python services by promoting modularization, component reuse, and technical debt reduction • Develop observability mechanisms to monitor source availability, success rates, execution times, and data quality • Investigate production incidents, identify root causes, and implement structural improvements • Explore new data collection technologies and strategies, including AI for intelligent information extraction and process automation • Use AI tools in development (AI First) to increase productivity, quality, and delivery speed • Contribute to architectural decisions, conduct code reviews, and support the technical development of less experienced professionals

🎯 Requirements

• Strong experience with Python, including asynchronous programming, concurrency, memory management, and performance optimization • Proven experience with web scraping and web crawling using Scrapy, BeautifulSoup, Playwright, Selenium, or equivalent technologies • Strong understanding of HTTP/HTTPS, headers, cookies, sessions, authentication, and how web applications work • Experience with browser automation and data extraction from dynamic JavaScript-rendered applications • Good knowledge of software architecture, design patterns, and building distributed, scalable systems in Python • Experience with frameworks such as FastAPI, Django, and/or Flask • Experience processing large volumes of data using Pandas, Polars, or equivalent tools • Knowledge of asynchronous and parallel processing using asyncio, multiprocessing, queues, and workers • Experience with messaging systems such as RabbitMQ, Kafka, SQS, Redis, or equivalent technologies • Experience with MongoDB and/or PostgreSQL, including modeling, indexing, and query optimization • Ability to develop resilient data collection solutions with reprocessing, deduplication, execution control, and failure recovery • Experience with automated testing, observability, monitoring, and production troubleshooting • Knowledge of Docker, Linux, and cloud infrastructure (AWS and/or GCP) • Familiarity with AI development tools (AI First), incorporating them into daily workflows • Autonomy to investigate complex problems, propose solutions, and drive end-to-end delivery • Strong communication, analytical thinking, sense of ownership, and ability to collaborate effectively with other developers • University degree or technical diploma • English proficiency

🏖️ Benefits

• Wellhub (Gympass) • Language Allowance • Pet Life and Dog Life • English Pass • Life Insurance • Contractor arrangement (PJ)