Full Stack Developer, Python, React

🔥 8 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Logo of 66degrees

66degrees

501 - 1000 employees

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

66degrees is a consulting and technology company that specializes in transforming customer experiences and business operations by leveraging innovative cloud, data, and AI solutions. They offer a broad spectrum of services including AI and machine learning, data platform modernization, cloud engineering, and managed solutions. By assisting businesses in modernizing infrastructure and applications, 66degrees enables data-driven decision-making and enhanced productivity. The company focuses on creating AI-powered enterprises and improving stakeholder collaboration and customer engagement across various industries such as retail, financial services, healthcare, and more.

📋 Description

• Design, develop, and maintain end-to-end full stack applications • Build and manage data-heavy backend systems focused on data engineering, data warehousing, and data modeling • Develop and maintain Python ETL/ELT pipelines for structured and unstructured data ingestion and processing • Create responsive, high-performance React.js interfaces with rich data visualizations • Work with Big Data technologies and cloud data warehouses such as BigQuery and Snowflake • Use GCP services such as Cloud Run and Cloud Functions, or equivalents, to build and deploy scalable microservices • Collaborate with AI, Data, Cloud, and Product teams to translate business requirements into scalable technical solutions • Implement CI/CD pipelines, automated testing, TDD, and engineering best practices • Experiment with and implement AI/ML and Generative AI use cases for MVPs and accelerators • Explore emerging technologies and contribute to innovation-driven product development

🎯 Requirements

• 3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend) • Hands-on experience in Data Engineering, Data Warehousing, and processing large-scale datasets, such as BigQuery and Snowflake • Strong understanding of ETL/ELT pipelines, data modeling, and data architecture principles • Experience with cloud platforms; GCP preferred, AWS/Azure acceptable • Familiarity with Big Data ecosystems and distributed data processing frameworks is a plus • Working knowledge of REST APIs, microservices architecture, and backend system design • Proficiency with Git, CI/CD pipelines, and Agile/Scrum methodologies • Exposure to or strong interest in AI/ML and Generative AI technologies, including LLMs and prompt engineering, is highly desirable • Strong problem-solving skills and analytical thinking • Excellent communication and collaboration skills • Demonstrated learning mindset, adaptability, and curiosity • No visa sponsorship or transfer available

🏖️ Benefits

• Equal Opportunity employer • AI tools used to support sourcing, role analysis, and interview transcription, with final hiring decisions made by the human Talent Team

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