Python Backend Developer - Latin America

This is a remote position. About think bridge think bridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solvingtechnologyproblems like these involves a lot more than code. That’s why we encourage think ’ersto spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At think bridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. think bridge is a place where you can: • Think bigger– because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues. • Move faster– because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done. • Go further– because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship. think bridge…there’s a new way there. ™ What is expected of you? As part of the job, you will be required to • Develop and maintain Python-based backend services for large-scale data collection + processing and customer facing Web services developed in Flask andFastAPI. • Build efficient, scalable, and maintainable web scraping solutions using tools like Playwright, Crawl4AI or other open source LLM backed scraping. • Work with large datasets provided by our data partners and collected by our systems and model them efficiently to be served to customers facing applications in sub second latency. • Work extensively with 3rd party APIs to ingest data from other SaaS products into our owndatastore . • Ensure data integrity and quality through validation, deduplication, and error-handling mechanisms. • Implement and optimize database queries (SQL and NoSQL) for fast data retrieval. • Collaborate with cross-functional teams to integrate collected data into internal systems. • Maintain security and compliance best practices in data scraping and storage. • Write clean, well-documented, and testablecode. If your beliefs resonate with these, you are looking at the right place! • Accountability– Finish what you started. • Communication– Context-aware, pro-active and clean communication. • Outcome– High throughput. • Quality– High-quality work and consistency. • Ownership – Go beyond. Requirements Must-Have: • 3+ years of Python development experience with a focus on backend systems. • Strong expertise in web scraping techniques and frameworks (Scrapy, Beautiful Soup, Selenium, Playwright). • Experience handling large-scale data processing and working with big datasets. • Proficiency in SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, etc.). • Knowledge of asynchronous programming and multiprocessing in Python. • Familiarity with cloud services (AWS, GCP, or Azure) for scalable data storage and processing. • Experience with data pipeline orchestration tools (Airflow, Prefect, or Luigi) is a plus. • Strong debugging and performance optimization skills. • Ability to work independently and manage multiple priorities in a fast-paced environment. • Fluent English communication skills Good to Have: • Experience with APIs and automation for data extraction • Experience withclick houseDBs is a huge plus • Familiarity with containerization technologies (Docker, Kubernetes). • Knowledge of machine learning or NLP for data analysis is a plus. • Experience working with LLMs in a scalable and reliable manner Additional Requirement Benefits • Contract (Renewable based on performance) • Remote First • Working hours USA (PST) • ​No loss of pay for pre-approved leaves. Originally posted on Himalayas