Data Engineer, Python, React

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🕒 Junho 11

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of GTS Technology Solutions

GTS Technology Solutions

51 - 200 funcionários

Fundada em 1984

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

A GTS Technology Solutions é uma empresa de consultoria em TI especializada em ajudar empresas a aproveitar a tecnologia para alcançar seus objetivos. Sua equipe de especialistas oferece uma ampla gama de serviços, incluindo consultoria em estratégia de TI, desenvolvimento de software, análise de dados, soluções em nuvem e transformação digital. Eles se concentram em utilizar tecnologias avançadas, como aprendizado de máquina e IA, para ajudar os clientes a otimizar operações, impulsionar o crescimento e aumentar a produtividade na era digital.

Descrição

• Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend) • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams • Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable) • Design and optimize data models, warehouses, and data processing workflows • Translate healthcare operational and reporting requirements into scalable data solutions • Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments) • Monitor, debug, optimize, and maintain production data systems and applications • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers

🎯 Requisitos

• Strong hands-on experience with Python for data engineering and backend development • Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.) • Basic to strong experience with React.js frontend development • Experience building scalable ETL/ELT pipelines and production-grade data applications • Strong understanding of REST APIs and system integrations • Experience working with relational and/or NoSQL databases • Experience with data warehousing, data modeling, and large-scale data processing • Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred) • Bachelor's degree in Computer Science, Engineering, or equivalent experience • Ability to work in ambiguous, real-world problem spaces • Strong communication skills with technical and non-technical stakeholders.

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