Python Developer – Senior

Nagro Crédito Agro

. Design, develop, and enhance data collection, processing, and integration systems using Python, ensuring scalability, resilience, and high performance .

Posted 10/22/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming, particularly in asynchronous and concurrent processing, while developing scalable data collection architectures and implementing resilient solutions. Proficient in web scraping, data extraction from dynamic applications, and utilizing AI tools to enhance productivity and data quality.

Highest-signal resume keywords

Python ProgrammingWeb ScrapingData Collection ArchitectureAsynchronous ProgrammingAutomated Testing

ATS Keywords

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Hard Skills

PythonWeb ScrapingConcurrencyData ProcessingFastAPIDjangoFlaskPandasMongoDBPostgreSQL

Soft Skills

Analytical ThinkingSense of OwnershipCollaborationCommunication

Tools & Technologies

ScrapyBeautifulSoupPlaywrightSeleniumRabbitMQKafkaSQSRedisDockerAWS

Industry Keywords

Data CollectionPerformance OptimizationObservabilityCloud InfrastructureAI Development

Tech Stack

Tools & technologies

AWSCloudDjangoDockerFlaskGoogle Cloud PlatformJavaScriptKafkaLinuxMongoDBPandasPostgresPythonRabbitMQRedisSelenium

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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